Intelligent Estimation: A Soft Computing by Jitendra R. Raol (.ePUB)+
File Size: 13.0 MB
Intelligent Estimation: A Soft Computing Paradigm by Jitendra R. Raol, Sara M. George
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Overview: Intelligent Estimation: A Soft Computing Paradigm presents a unified treatment of a new soft computing framework using AI-based approaches for system identification, parameter estimation, and filtering. This Neuro-Fuzzy-GA-based methodology, succinctly referred to as Intelligent Estimation (IE), integrates these estimation and filtering tasks within a single paradigm. Offering a thorough understanding of soft computing-based estimation concepts and theory, the book discusses a modelling-control-system approach with numerous practical applications in solving mathematical modelling problems for industrial and aerospace engineering systems. It delves into theory, concepts, and various ramifications of neural networks, fuzzy logic, and genetic algorithms for modelling, system identification, filtering, and estimation. Where appropriate we use numerical simulation examples coded in MATLAB, or other software tools (like Python) to illustrate the concepts of IE. The user should have access to PC-based MATLAB software and other toolboxes: signal processing, control system, system identification, neural networks, fuzzy logic, genetic algorithms, statistics, and optimization. This book is intended for upper-level undergraduate and graduate engineering students studying soft computing, intelligent systems, and advanced control systems in industry applications.
Genre: Non-Fiction > Tech & Devices
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