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Artificial Intelligence and Soft Computing for Beginners, 3rd Edition

MRP: Rs.725.00
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The course of Artificial Intelligence is taken by all engineering undergraduate and postgraduate students pursuing computer science. Apart from this, it is a popular elective in almost all other branches of engineering. It is also a field chosen for research by many doctoral students. This book has in-depth detail illustration of all the chapters of Artificial Intelligence (AI) with Soft Computing, covering the syllabus of WBUT, Gitam, JNTU, NIT and few different universities. During the course of teaching Artificial Intelligence, the author had found that no textbook covers both Artificial intelligence (AI) with intelligent systems (IS) and soft computing in a comprehensive manner. This book provides a comprehensive coverage of the fundamental concepts and techniques in Artificial Intelligence and Soft Computing with mathematical in depth explanation. The main emphasis is on the solution of real world problems using the latest AI techniques.

During teaching artificial intelligence, author realized that the basic text books do not have an organized content according to the syllabus. In this book all the chapters are organized properly and contain a complete coverage. The sequence of the chapters has been set in a manner which would be very easy for the students to understand. The main importance of this book is on the solution of many real world problems. Each chapter

contains multiple choice questions with answer and possible explanation. Also some important solutions and answers at the end as “Take a look to be more acquainted with”. In addition, modern and current topic in AI for an example Pattern Recognition, Data Clustering Algorithm, Genetic Algorithm with Data Clustering method, Swarm Intelligence, Tabu Search, Ant Colony Optimization are discussed in details. These concepts may motivate students to do projects .This book contains information about programming languages and the proper syntax with example is provided which may help students to practically apply this programming concepts. Mathematical explanation to understand the concept in detail about Single & Multi objective Genetic Algorithm, Neural Network, Fuzzy Logic is provided. The basic coverage of each and every chapter is mentioned before the chapter as “chapter utility”. This book has been designed in such a manner so that it becomes very easy to understand the language and comprehend not only for computer science department student but also for non departmental student as well.


After B-Tech, Anindita Das Bhattacharjee started her career in industry as a Trainee Software Developer for a year. She had to quit industry carrier as she wanted to pursue higher studies. She has done M-Tech in Computer Science from National Institute of Technology (NIT), Durgapur. She secured a position of First class Second in M-Tech. She has done many projects on Data clustering, Fuzzy logic, Multi-Objective Genetic Algorithm on Time table problem, which are basically a part of Artificial Intelligence & Soft Computing. She has been teaching for more than 10 years in Computer Science as an Asst. Prof. Her area of interest includes Artificial Neural Networks, Genetic Algorithm, Data Clustering, Computer Graphics Design, Design and Analysis of algorithm and Distributed Operating System. She started her teaching carrier in Bengal College of Engineering & Technology (BCET) Durgapur, as an Asst. Prof. Currently she is working in Swami Vivekananda Institute of Science & Technology (SVIST) Kolkata, as an Asst. Prof. in computer science department. She is the author of the book “Artificial Intelligence and Soft computing for beginner” published in 2013(First Edition) & 2014 (Second Edition), which has gained good popularity and has received positive feedbacks. Currently she is pursuing her PhD work. She is an author of book chapters in the book “Intelligent Analysis for Multimedia Information” published by IGI Global and indexed in Scopus and IRMA. She has few IEEE publications and many publications in international journals on Machine learning indexed in Elsevier Mendeley.


Anindita Das
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Dimensions (W x H x D):
9 x 7 x 1 inch

Table of Contents (9789352137466_toc.pdf, 292 Kb) [Download]