Backpropagation Neural Networks and Their Applications

Backpropagation Neural Networks and Their Applications

Eva Volna (University of Ostrava, Czech Republic)
Release Date: September, 2015|Copyright: © 2016 |Runtime: 1 hr 36 mins
EISBN13: 9781466697089|DOI: 10.4018/978-1-4666-9708-9
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Description

A neural network is defined as a large-scale parallel distributed processor composed of a number of individual processing units which mirror the natural brain processes of learning and storing information. Because neural networks behave in a manner similar to what is found in nature, their application to real-world problems is beneficial across industries.

Backpropagation Neural Networks and Their Applications presents an overview of experimental studies conducted in a university setting using backpropagation neural networks applied to a variety of domains. Touching on crucial research-based topics and providing insight into real-world applications of backpropagation neural networks, this video lecture is ideal for use by researchers, computer scientists, and graduate-level students.

Topics Covered

  • Acoustic Signal Processing
  • Artificial Neural Networks
  • Motion Capture
  • Optical Character Recognition
  • Pattern Recognition
  • Vision Systems

Table of Contents

Introduction and Biography
3:57 mins
Play Preview
Section 1:Introduction to Neural Networks and Backpropagation Neural Networks
 
Lesson 1:Multilayer Neural Networks & Backpropagation Rules
17:24 mins
 
Section 2:Digital Filters Based on Neural Networks
 
Lesson 2:Platinotype, Cyanotype, and Van Dyke Digital Filter Techniques
19:23 mins
 
Section 3:Vision System for License Plate Recognition based on Neural Networks
 
Lesson 3:Elliott Wave Patterns Recognition Based on Neural Networks
17:32 mins
 
Section 4:Steganography based on Neural networks
 
Lesson 4:Acoustic Signal Processing via Neural Networks
18:42 mins
 
Section 5:Dynamic Motion Capture System based on Neural Networks
 
Lesson 5:Blum Blum Shub Generators and Steganography
19:05 mins
 

Reviews and Testimonials

This series presents an overview of experimental studies conducted in a university setting using backpropagation neural networks applied to a variety of domains. Eva Volna has established research in neural networks for many years. I recommend these video lectures.

– Dr. Martin Kotyrba, Department of Informatics and Computers, University of Ostrava, Czech Republic

The video lectures are about applications of neural networks. It is a narrow focus, therefore the target audience includes professors and students in engineering schools, researchers and engineers. Recommended.

– Professor Roman Jasek, Tomas Bata University in Zlín, Czech Republic