Competition-based Neural Networks with R
β Shuai Li, Long Jin
π Library
π
2017
π Springer
π English
β¦ LIBER β¦
π
Competition-based neural networks with robotic applications
β Scribed by Jin, Long; Li, Shuai
- Publisher
- Springer
- Year
- 2018
- Tongue
- English
- Leaves
- 132
- Series
- SpringerBriefs in applied sciences and technology
- Category
- Library
β¬ Acquire This Volume
No coin nor oath required. For personal study only.
β¦ Synopsis
Focused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Specifically, it defines four different classes of centralized models for investigating the resultant competition in a group of multiple agents. With regard to distributed competition with limited communication among agents, the Read more...
Abstract:
Focused on solving competition-based problems, this book designs, proposes, develops, analyzes and simulates various neural network models depicted in centralized and distributed manners. Read more...
β¦ Table of Contents
Front Matter....Pages i-xv
Competition Aided with Discrete-Time Dynamic Feedback....Pages 1-12
Competition Aided with Continuous-Time Nonlinear Model....Pages 13-23
Competition Aided with Finite-Time Neural Network....Pages 25-55
Competition Based on Selective Positive-Negative Feedback....Pages 57-79
Distributed Competition in Dynamic Networks....Pages 81-102
Competition-Based Distributed Coordination Control of Robots....Pages 103-121
β¦ Subjects
Neural networks (Computer science);Robotics;COMPUTERS / General
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