Comprehensive Guide to Soft Computing: Explores the fundamentals and applications of soft computing techniques in systems and control technology.
Practical Applications: Provides real-world examples and case studies demonstrating the use of soft computing in various domains, including robotics, automation, and optimization.
Advanced Techniques: Covers advanced topics such as fuzzy logic, neural networks, and evolutionary algorithms, with a focus on their application in control systems.
Interdisciplinary Approach: Integrates knowledge from computer science, engineering, and mathematics to provide a holistic understanding of soft computing in systems and control.
* Suitable for Students and Practitioners: Written in an accessible style, making it ideal for both students and professionals seeking to enhance their knowledge in soft computing and control technology.