Multilayer Neural Networks: Overview and Applications

Multilayer Neural Networks: Overview and Applications

Siddhartha Bhattacharyya (RCC Institute of Information Technology, India)
Release Date: January, 2017|Copyright: © 2017 |Runtime: 1 hr 14 mins
EISBN13: 9781522523178|DOI: 10.4018/978-1-5225-2317-8


Artificial neural networks are optimal systems for numerous problem-solving applications. With their learning and generalization capabilities, these networks can be used in variety of contexts.

Multilayer Neural Networks: Overview and Applications discusses the characteristics, techniques, and implementations of neural networking paradigms and analyzes the multilayer version of the network model. Highlighting a range of relevant perspectives and advancements, such as network architecture and dynamics, this video resource is ideal for academics, professionals, graduate students, and professionals seeking the latest research on artificial neural networks.

Topics Covered

  • Activation Functions
  • Backpropagation Algorithm
  • Network Architecture
  • Network Dynamics
  • Operational Modes
  • Optimal Flow Field

Table of Contents

Introduction & Biography
6:58 mins
Section 1:
Lesson 1:Artificial Neural Networks
24:32 mins
Section 2:
Lesson 2:Multilayer Neural Network Architectures
15:20 mins
Section 3:
Lesson 3:Multilayer Self-Organizing Neural Network (MLSONN) Architecture
11:38 mins
Section 4:
Lesson 4:Applications
11:56 mins
3:38 mins