Competition-Based Neural Networks with Robotic Applications
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 competitio...
Main Authors: | , |
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Format: | eBook |
Language: | English |
Published: |
Singapore
Springer Nature Singapore
2018, 2018
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Edition: | 1st ed. 2018 |
Series: | SpringerBriefs in Applied Sciences and Technology
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- Competition Aided with Discrete
- Time Dynamic Feedback
- Competition Aided with Continuous
- Time Nonlinear Model
- Competition Aided with Finite
- time Neural Network
- Competition based on Selective Positive-negative Feedback
- Distributed Competition in Dynamic Networks
- Competition-based Distributed Coordination Control of Robots