Competition-Based Neural Networks with Robotic Applications

• Main Authors: Li, Shuai (Author, http://id.loc.gov/vocabulary/relators/aut), Jin, Long (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: SpringerBriefs in Applied Sciences and Technology,
• Subjects: Computational intelligence.; Robotics.; Automation.; Artificial intelligence.; Neural networks (Computer science) .; Computational Intelligence.; Robotics and Automation.; Artificial Intelligence.; Mathematical Models of Cognitive Processes and Neural Networks.

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...

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.