×
10% Discount on All E-Books through IGI Global’s Online Bookstore Extended
(10% discount on all e-books cannot be combined with most offers. Discount is valid on purchases made directly through IGI Global Online Bookstore (
www.igi-global.com
)
and may not be utilized by booksellers and distributors. Offer does not apply to e-Collections and exclusions of select titles may apply. Offer expires June 30, 2022.)
Browse Titles
Login/Create Account
Language:
English
US
China
Cart
0
All Products
All Products
Books
Journals
Videos
Book Chapters
Journal Articles
Video Lessons
Teaching Cases
Special Offers
10% Discount on All E-Books through IGI Global’s Online Bookstore
With the continued paper shortages and supply chain issues, we have been informed by our partners that there will be substantial delays in printing and shipping publications, especially as we approach the holiday season. To help incentive the electronic format and streamline access to the latest research, we are offering a 10% discount on all our e-books through IGI Global’s Online Bookstore. Hosted on the InfoSci
®
platform, these titles feature no DRM, no additional cost for multi-user licensing, no embargo of content, full-text PDF & HTML format, and more.
Browse Titles
IGI Global to Convert an Additional 30 Journals to Full Gold Open Access for the 2022 Volume Year
IGI Global is to convert an additional 30 journals to full gold open access (OA) for their 2022 volume year, which will expand their OA collection to contain 60 gold open access and one (1) platinum open access journal.
Learn More
All IGI Global Scholarly Journals Shift to "Digital Preferred" Format
In response to the overwhelming demand for electronic content coupled with the mission to decrease the overall environmental impacts of print production and distribution, all IGI Global journals will shift into a digital preferred model for the 2022 volume year. Under this model, journals will become primarily available under electronic format and articles will be immediately available upon acceptance. Print subscriptions and print + electronic subscriptions will still be available, but for the print version, all articles that are published during the volume year will become available at the end of the year in a single (1) printed volume.
Learn More
IGI Global’s New DEI e-Book Collection
Acquire Over 320+ E-Books on Diversity, Equity, and Inclusivity from a publisher that has been dedicated to DEI since its inception over 30 years ago. Now, benefit from a collection of all of our DEI e-Books at a 90% Discount.
Learn More
Offering a
5% Pre-Publication Discount
on
All Reference Books Ordered Through IGI Global’s Online Bookstore*
To support customers with accessing the latest research, IGI Global is offering a 5% pre-publication discount on all hardcover, softcover, e-books, and hardcover + e-books titles.
*5% discount offer is eligible on hardcover, softcover, e-books, and hardcover + e-books titles and is automatically applied directly to the shopping cart. Discount offer only valid on purchases made directly through IGI Global’s Online Bookstore and offer expires 30 days after the publication’s release. This automatic discount is not intended for use by book distributors or wholesalers.
Browse Titles
Books
Books
Open Access Books
OnDemand Book Chapters
Journals
Journals
Open Access Journals
OnDemand Journal Articles
e-Collections
e-Collections
Transformative Open Access (Read & Publish)
Open Access
Publish
with Us
Resources
Librarians
e-Collections
Book Title List
Journal Title List
Video Title List
Library Collection Development Service
Browse Forthcoming Books
Consortia Partnerships
Library and Publisher Collaborations
Product Distributors
Catalogs
Open Access Initiative
Instructors
Course Adoption
Teaching Cases
K-12 Online Learning Collection
Researchers
Browse Books
Browse Journals
Browse Forthcoming Books
Search Open Access Content
OnDemand Downloads
Webinars
Authors and Editors
eEditorial Discovery
®
System
Peer Review Process
Ethics and Malpractice
COPE Membership
Fair Use Policy
Open Access Publishing
Author Services
FAQ
Distributors
Distributor Resources
Book Distributors
Journal Subscription Agencies
E-Resource Partners
Browse Forthcoming Books
Catalogs
About Us
Newsroom
What is Artificial Neural Networks
1.
Are mathematical or computational models that are inspired by biological
neural networks
such as the brain. Modern
neural networks
are non-linear statistical data modeling tools and are usually used to model complex relationships between inputs and outputs or to find patterns in data.
Learn more in: Soft Methods for Automatic Drug Infusion in Medical Care Environment
2.
Are mathematical or computational models that are inspired by biological
neural networks
such as the brain. Modern
neural networks
are non-linear statistical data modeling tools and are usually used to model complex relationships between inputs and outputs or to find patterns in data.
Learn more in: Soft Methods for Automatic Drug Infusion in Medical Care Environment
3.
Interconnected set of many simple processing units, commonly called neurons, that use a mathematical model, that represents an input/output relation,
Learn more in: ANN Development with EC Tools: An Overview
4.
A set of basic processing units which communicate to each other by weighted connections. These units give rise a parallel processing with particular properties such as the ability to adapt or learn, to generalise, to cluster or organise data, to approximate non-linear functions. Each unit receives an input from neighbours or external sources and uses it to compute an output signal. Such signal is propagated to other units or is a component of the network output. In order to map an input set into an output one a
neural
network is trained by teaching patterns, changing its weights according to proper learning rules.
Learn more in: AVI of Surface Flaws on Manufactures I
5.
Computer systems (hardware and software) that “learn” by training on inputs, largely with pattern recognition as their basis of operation.
Learn more in: Telemedicine and Information Technology for Disaster Medical Scenarios
6.
Artificial neural networks
are models are derived from animal central nervous systems and can be regarded as systems of internally connected neurons which are capable of machine learning and pattern recognition.
Learn more in: Application of Artificial Intelligence Techniques to Handle the Uncertainty in the Chemical Process for Environmental Protection
7.
It mimics animal
neural networks
and useful in taking some action by observing some example instead of being explicitly programmed.
Learn more in: An Overview of Biomedical Image Analysis From the Deep Learning Perspective
8.
Composed of several units called neurons, connected through synaptic weights, which are iteratively adapted to achieve the desired response. Each neuron performs a weighted sum of its inputs, which is then passed through a nonlinear function that yields the output signal. ANNs have the ability to perform a non-linear mapping between their inputs and outputs, which is learned by a training algorithm
Learn more in: Hierarchical Neuro-Fuzzy Systems Part I
9.
Computer models of interconnected neurons that can be trained to carry out pattern recognition and other low-level cognitive functions through supervised or unsupervised of learning.
Learn more in: Stochastic Neural Network Classifiers
10.
A network of many simple processors that imitates a biological
neural
network. The units are connected by unidirectional communication channels, which carry numeric data.
Neural networks
can be trained to find nonlinear relationships in data, and are used in applications such as robotics, speech recognition, signal processing or medical diagnosis
Learn more in: A Hybrid System for Automatic Infant Cry Recognition I
11.
Interconnected set of many simple processing units, commonly called neurons, that use a mathematical model, that represents an input/output relation,
Learn more in: Evolving Graphs for ANN Development and Simplification
12.
A type of
artificial
intelligence that attempts to imitate the way a human brain works. Rather than using a digital model, in which all computations manipulate zeros and ones, a
neural
network works by creating connections between processing elements, and the organization and weights of the connections determine the output.
Learn more in: Neural Networks for Intrusion Detection
13.
is a computational model based on biological
neural networks
which consists of an interconnected group of
artificial
neurons that have been practically used in prediction, classification, control problem and approximation. In other words, ANNs are an adaptive system that changes its structure based on internal or external information that flows through the network during the learning phase. ANNs consist of a set of nodes (input, hidden and output neurons) connected by weights.
Learn more in: Evolutionary Multi-Objective Optimization of Autonomous Mobile Robots in Neural-Based Cognition for Behavioural Robustness
14.
They are computational models inspired by animals' central nervous systems (in particular the brain) that are capable of machine learning and pattern recognition.
Learn more in: Application of Soft Computing Techniques for Renewable Energy Network Design and Optimization
15.
A network of simple processing elements which can exhibit complex global behavior, determined by the connections between the processing elements and element parameters.
Learn more in: Current Issues and Future Trends of Clinical Decision Support Systems (CDSS)
16.
Artificial neural networks
, usually simply called
neural networks
, are computing systems vaguely inspired by the biological
neural networks
that constitute animal brains.
Learn more in: Advancing Artificial Intelligence-Enabled Cybersecurity for the Internet of Things
17.
They are nonlinear predictive models that learn through training and resemble biological
neural networks
in structure.
Learn more in: Predictive Data Mining: A Survey of Regression Methods
18.
Artificial neural networks
are mathematical models that attempt to simulate and mimic the operation of the human brain.
Learn more in: Design of an Agribusiness Innovative and Autonomous Robot System for Chemical Weed Control for Staple Food Crops Production in Sub-Saharan Africa
19.
Computational models inspired by the brain that are capable of machine learning and pattern recognition.
Learn more in: Studying Individualized Transit Indicators Using a New Low-Cost Information System
20.
Artificial neural networks
(ANN) or connectionist systems are computing systems vaguely inspired by the biological
neural networks
that constitute animal brains. The
neural
network itself is not an algorithm, but rather a framework for many different machine learning algorithms to work together and process complex data inputs.
Learn more in: Subjective and Objective Assessment for Variation of Plant Nitrogen Content to Air Pollutants Using Machine Intelligence: Subjective and Objective Assessment
21.
Machine learning methods consisting of interconnecting
artificial
neurons that simulate the properties of biological
neural networks
.
Learn more in: Computational Models for the Analysis of Modern Biological Data
22.
A model system for processing large and complex data which uses inputs to generate outputs in the process, it simulates the working principles of neuron of a human brain.
Learn more in: Stochastic Drought Forecasting Exploration for Water Resources Management in the Upper Tana River Basin, Kenya
23.
System composed of many simple processing elements operating in parallel whose function is determined by network structure, connection strengths, and the processing performed at computing elements or nodes.
Learn more in: 2D-PAGE Analysis Using Evolutionary Computation
24.
Interconnected group of simple units (neurons) that, as a function of the connections between the units and the parameters, can compute complex behaviors and find nonlinear relationships in data. They are used in applications such as robotics, signal processing, or medical diagnosis
Learn more in: Neural Network-Based Visual Data Mining for Cancer Data
25.
Artificial neural networks
mimic the properties of biological neurons.
Artificial neural networks
are commonly used to solve non-linear problems without necessarily creating a model of a real biological system.
Learn more in: Adaptive Network Based Fuzzy Interference System (ANFIS) Modeling of an Anaerobic Wastewater Treatment Process
26.
A network of many simple processors (“units” or “neurons”) that imitates a biological
neural
network. The units are connected by unidirectional communication channels, which carry numeric data.
Neural networks
can be trained to find nonlinear relationships in data, and are used in applications such as robotics, speech recognition, signal processing or medical diagnosis.
Learn more in: Solar Radiation Forecasting Model
27.
Neural networks
that include
artificial
intelligence.
Learn more in: Insulin Metabolism Models for Children with Type 1 Diabetes
28.
Artificial Neural Networks
are an approach to machine learning which developed out of attempts to model the processing that occurs within the neurons of the brain.
Learn more in: Artificial Intelligence Techniques for Solar Energy and Photovoltaic Applications
29.
Family of statistical learning algorithms inspired by biological
neural networks
(the central nervous systems of animals, in particular the brain) and are used to estimate or approximate functions that can depend on a large number of inputs and are generally unknown.
Artificial neural networks
are generally presented as systems of interconnected “neurons” which can compute values from inputs, and are capable of machine learning as well as pattern recognition thanks to their adaptive nature.
Learn more in: AI-Based Cyber Defense for More Secure Cyberspace
30.
A network of many simple processors (“units” or “neurons”) that imitates a biological
neural
network. The units are connected by unidirectional communication channels, which carry numeric data.
Neural networks
can be trained to find nonlinear relationships in data, and are used in applications such as robotics, speech recognition, signal processing or medical diagnosis.
Learn more in: Neural Networks and HOS for Power Quality Evaluation
31.
Models inspired by the working of the brain, considered as a combination of neurons and synaptic connections, which are capable of transmitting data through multiple layers, giving a system able to solve different problems like pattern recognition and classification.
Learn more in: Evolutionary Approaches for ANNs Design
32.
A method that is capable of learning, storing knowledge, and making decisions based on data it has been exposed to.
Learn more in: Computational Intelligence in Detecting Abnormal Pressure in the Diabetic Foot
33.
The most important one algorithm of machine learning used in classification and clustering.
Learn more in: Enhance Network Intrusion Detection System by Exploiting BR Algorithm as an Optimal Feature Selection
34.
Interconnected set of many simple processing units, commonly called neurons, that use a mathematical model representing an input/output relation.
Learn more in: Artificial Intelligence and Rubble-Mound Breakwater Stability
35.
Are computational
networks
that try to simulate the decision process in the nerve cell (neurons)
networks
of the biological (human or animal) central nervous system. This simulation is a cell-to-cell (neuron-neuron, element-to-element) simulation. Inspired by the neurophysiological knowledge of biological neurons and
networks
of such biological neurons ( Graupe, 2013 ).
Learn more in: Forecasting Hotel Occupancy Rates With Artificial Neural Networks in the COVID-19 Process
36.
A data modeling tool that is able to capture and to represent complex input/output relationships.
Learn more in: Artificial Intelligence Methods and Their Applications in Civil Engineering
37.
They are nonlinear predictive models that learn through training and resemble biological
neural networks
in structure.
Learn more in: Increasing the Accuracy of Predictive Algorithms: A Review of Ensembles of Classifiers
38.
Mathematical models inspired by biological
neural networks
. They consist of several layers of
artificial
neurons. The structure and weights of connection between neurons are changing during learning phase.
Neural networks
are able to model complex relationships between input and output data.
Learn more in: Computational Intelligence in Survival Analysis
39.
A machine learning technique, inspired by the biological nervous system.
Learn more in: What Is Deep Learning and How Has It Helped the COVID-19 Pandemic?
40.
An interconnected group of units or neurons that uses a mathematical model for information processing based on a connectionist approach to computation.
Learn more in: Growing Self-Organizing Maps for Data Analysis
41.
Interconnected set of many simple processing units, commonly called neurons, that use a mathematical model representing an input/output relation
Learn more in: Wave Reflection at Submerged Breakwaters
42.
Composed number of nodes which correspond to biological neurons.
Learn more in: Artificial Intelligence and Supply Chain Management Application, Development, and Forecast
43.
Information processing systems with interconnected components analogous to neurons that mimic biological nervous systems and the ability to learn through experience.
Learn more in: Diagnostic Support Systems and Computational Intelligence: Differential Diagnosis of Hepatic Lesions from Computed Tomography Images
44.
A machine learning algorithm that is created by mimicking the information transmission and problem-solving mechanism in the human brain.
Learn more in: Overview of Machine Learning Approaches for Wireless Communication
45.
A network of many simple processors (“units” or “neurons”) that imitates a biological
neural
network. The units are connected by unidirectional communication channels, which carry numeric data.
Neural networks
can be trained to find nonlinear relationships in data, and are used in applications such as robotics, speech recognition, signal processing or medical diagnosis.
Learn more in: Multilogistic Regression by Product Units
46.
A network of many simple processors (“units” or “neurons”) that imitates a biological
neural
network. The units are connected by unidirectional communication channels, which carry numeric data.
Neural networks
can be trained to find nonlinear relationships in data, and are used in applications such as robotics, speech recognition, signal processing or medical diagnosis
Learn more in: ANN-Based Defects' Diagnosis of Industrial Optical Devices
Find more terms and definitions using our
Dictionary Search
.
Artificial Neural Networks
appears in:
Handbook of Research on ICTs and Management...
Search inside this book for more research materials.
Recommend to a Librarian
Recommend to a Colleague
Looking for research materials? Search our database for more
Artificial Neural Networks
downloadable research papers.
InfoSci-OnDemand
Download Premium Research Papers
Full text search our database of 165,400 titles for
Artificial Neural Networks
to find related research papers.
Learn More About Artificial Neural Networks in These Related Titles
Critical Perspectives on Social Justice in S...
Social Sciences & Humanities
Copyright 2021. 355 pages.
There is very little discussion of socially just a...
In Stock
$37.50 Individual Chapters
Handbook of Research on Clinical Application...
Medicine & Healthcare
Copyright 2020. 1356 pages.
In the past, individuals in the dentistry field ha...
In Stock
$37.50 Individual Chapters
Theory and Practice of Business Intelligence...
Medicine & Healthcare
Copyright 2020. 322 pages.
Business intelligence supports managers in enterpr...
In Stock
$37.50 Individual Chapters
Handbook of Research on the Global Impacts a...
Media & Communications
Copyright 2020. 539 pages.
The world is witnessing a media revolution similar...
In Stock
$37.50 Individual Chapters
Police Psychology and Its Growing Impact on...
Social Sciences & Humanities
Copyright 2017. 345 pages.
Police psychology has become an integral part of p...
In Stock
$37.50 Individual Chapters
Handbook of Research on Computerized Occlusa...
Medicine & Healthcare
Copyright 2015. 973 pages.
Modern medicine is changing drastically as new tec...
In Stock
$37.50 Individual Chapters
Modern Societal Impacts of the Model Minorit...
Social Sciences & Humanities
Copyright 2015. 403 pages.
The model minority stereotype is a form of racism...
In Stock
$37.50 Individual Chapters
Educational, Psychological, and Behavioral C...
Media & Communications
Copyright 2014. 465 pages.
Online communities continue to evolve as more peop...
In Stock
$37.50 Individual Chapters
Integrated Operations in the Oil and Gas Ind...
Business & Management
Copyright 2013. 457 pages.
The predicted “ICT revolution” has gained increasi...
In Stock
$37.50 Individual Chapters
Electronic Enterprise: Strategy and Architec...
Business & Management
Copyright 2003. 384 pages.
Enterprise evolution (or electronic enterprise) is...
In Stock
$37.50 Individual Chapters