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PRINCIPLES OF SOFT COMPUTING (With CD )
Market_Desc: · B. Tech (UG) students of CSE, IT, ECE· College Libraries· Research Scholars· Operational Research· Management Sector Special Features: Dr. S. N. Sivanandam has published 12 books· He has delivered around 150 special lectures of different specialization in Summer/Winter school and also in various Engineering colleges· He has guided and co guided 30 PhD research works and at present 9 PhD research scholars are working under him· The total number of technical publications in International/National Journals/Conferences is around 700· He has also received Certificate of Merit 2005-2006 for his paper from The Institution of Engineers (India)· He has chaired 7 International...
Introduction to Fuzzy Logic using MATLAB
This book provides a broad-ranging, but detailed overview of the basics of Fuzzy Logic. The fundamentals of Fuzzy Logic are discussed in detail, and illustrated with various solved examples. The book also deals with applications of Fuzzy Logic, to help readers more fully understand the concepts involved. Solutions to the problems are programmed using MATLAB 6.0, with simulated results. The MATLAB Fuzzy Logic toolbox is provided for easy reference.
Introduction to Genetic Algorithms
This book offers a basic introduction to genetic algorithms. It provides a detailed explanation of genetic algorithm concepts and examines numerous genetic algorithm optimization problems. In addition, the book presents implementation of optimization problems using C and C++ as well as simulated solutions for genetic algorithm problems using MATLAB 7.0. It also includes application case studies on genetic algorithms in emerging fields.
Control Systems Engineering Using Matlab
Control Systems Engineering using MATLAB provides students with a concise introduction to the basic concepts in automatic control systems and the various methods of solving its problems. Designed to comfortably cover two academic semesters, the style and form of the book makes it easily comprehensible for all engineering disciplines that have control system courses in their curricula. The solutions to the problems are programmed using MATLAB 6.0 for which the simulated results are provided. The MATLAB Control Systems Toolbox is provided in the Appendix for easy reference. The book would be useful as a textbook to undergraduate students and as quick reference for higher studies.
PRINCIPLES OF SOFT COMPUTING, 2ND ED (With CD )
Market_Desc: · B. Tech (UG) students ofü CSEü ITü ECE· College Libraries· Research Scholars· Operational Research· Management Sector Special Features: · Detailed explanation of soft computing concepts.· Study on various artificial neural network architecture.· Description on fuzzy logic techniques.· Introduction to genetic algorithm and its types for solving optimization problems.· Numerous artificial neural network, fuzzy logic and genetic algorithm problems.· Implementation of soft computing techniques using C and C++.· Simulated solutions for soft computing concepts using MATLAB package.· Application case studies on soft computing techniques on emerging fields.· Various h...
Problems & Solutions In Control System Engineering
This text provides problems and solutions of the basic control system concepts. It gives a broad and in-depth overview of solving control system problems.There are sixteen chapters in the book. Chapter 1 introduces the reader to automatic control systems. Chapters 2 to 12 contain problems involving feedback control theory and the frequency domain tools of control system design. Problems on non-linear systems and state space analysis are solved in chapters 13 and 14 respectively. Chapter 15 covers the discrete control system concept. The MATLAB based control system design toolbox and the solutions to the problems programmed in MATLAB environment are discussed in chapter 16.This book will be useful for all engineering disciplines that have control system courses in their curriculum. The topics included can be covered in two academic semesters. The main objective of the book is to enable the students to clearly understand the method of solving control system problems.
NEURAL NETWORKS, FUZZY LOGIC AND GENETIC ALGORITHM
This book provides comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence. The constituent technologies discussed comprise neural networks, fuzzy logic, genetic algorithms, and a number of hybrid systems which include classes such as neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. The hybridization of the technologies is demonstrated on architectures such as Fuzzy-Back-propagation Networks (NN-FL), Simplified Fuzzy ARTMAP (NN-FL), and Fuzzy Associative Memories. The book also gives an exhaustive discussion of FL-GA hybridization. Every architecture has been discussed in detail through illustrative examples...
AI and IoT-Based Intelligent Automation in Robotics
The 24 chapters in this book provides a deep overview of robotics and the application of AI and IoT in robotics. It contains the exploration of AI and IoT based intelligent automation in robotics. The various algorithms and frameworks for robotics based on AI and IoT are presented, analyzed, and discussed. This book also provides insights on application of robotics in education, healthcare, defense and many other fields which utilize IoT and AI. It also introduces the idea of smart cities using robotics.
Intelligent Information and Database Systems
The two-volume set LNAI 7802 and LNAI 7803 constitutes the refereed proceedings of the 5th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2013, held in Kuala Lumpur, Malaysia in March 2013. The 108 revised papers presented were carefully reviewed and selected from numerous submissions. The papers included are grouped into topical sections on: innovations in intelligent computation and applications; intelligent database systems; intelligent information systems; tools and applications; intelligent recommender systems; multiple modal approach to machine learning; engineering knowledge and semantic systems; computational biology and bioinformatics; computational intelligence; modeling and optimization techniques in information systems, database systems and industrial systems; intelligent supply chains; applied data mining for semantic Web; semantic Web and ontology; integration of information systems; and conceptual modeling in advanced database systems.
