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Hybrid Soft Computing Approaches : Research and ApplicationsRead online Hybrid Soft Computing Approaches : Research and Applications

• Author: Siddhartha Bhattacharyya
• Published Date: 02 Sep 2015
• Publisher: Springer, India, Private Ltd
• Original Languages: English
• Format: Hardback::457 pages
• ISBN10: 8132225430
• ISBN13: 9788132225430
• Dimension: 155x 235x 25.4mm::8,276g

Read online Hybrid Soft Computing Approaches : Research and Applications. Neural networks, neural dynamics, and neuro-computation algorithms Fuzzy systems, genetic algorithms and hybrid soft computing approaches Multi-agent systems, artificial immune systems and applications Biologically inspired intelligent Hybrid soft computing approaches:research and applications. Responsibility: Siddhartha Bhattacharyya, Paramartha Dutta, Susanta Chakraborty, editors. Research and Applications Book Series: Studies in Computational Intelligence The different chapters highlight the necessity of the hybrid soft computing Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and Multi-agent approach, Soft Computing, IAV, Path Planning. 1. Introduction mechanisms in the study of Artificial Intelligent. The integration of ES and FL has proven to be a way to develop useful real-world applications, and hybrid systems. Proposal for a Special Issue in Applied Soft Computing (Elsevier) on: Emerging Soft Computing Methodologies in Deep Learning and Applications Scope of the issue Machine learning is to design and analyze algorithms that allow computers to "learn" automatically K