Bonarini, Soft Computing Applications. Butler, Understanding Neural Networks. Damiani, Soft Computing in Software Engineering. Hecht-Nielsen, Neurocomputing. Kung, Digital Neural Networks. Pratihar, Soft Computing. Sivanandam, S. Deepa, Principles of Soft. “A Text Book of Discrete Mathematics”, 6th Edition, S. A simple Introduction to p2p files distribution: Bit Torrent. Transport Layer: Introduction and Services, Transport layer in internet, Difference. Sivanandam, S.N. Deepa, Principles of Soft Computing, Wiley-India, 2008.
• • Part of the book series (AISC, volume 234) Abstract This chapter presents a brief overview of advances in modern artificial intelligence. It recognises that society has embraced Artificial Intelligence (AI), even if it is embedded within many of the consumer products being marketed. The reality is that society is already in the throws of digitizing its past and continues progressively moves on-line. The volume and breadth of data being processed is becoming unfathomable. This digital future heralds the dawn of virtual communities, operating a Web of Things (WoT) full of connected devices, many fitted with wireless connectivity 24/7. This pervasiveness increases the demand on researchers to provide more intelligent tools, capable of assisting humans in prosecuting this information, seamlessly, efficiently and immediately. Ultimately AI techniques have been evolving since the 1950s.
This evolution began with Good Old-Fashioned Artificial Intelligence (GOFAI) using explicitly coded knowledge, heuristics and axiomatization. This digital analogy of biological systems initially failed to realise its potential, at least until the birth of personal computers. This introduced a paradigm shift towards the Fuzzy/Neural era, which furnished society with computer vision, character recognition and Evolutionary Computing (EC) (among other successes). The value engineering proponents continued to invest in automation, which spurred the growth of Machine Intelligence (MI) research, further increasing expectations for computers to do more with less human interaction. Garmin Mapsource 6.13.7 Special: Full Version Free Software Download.
McCarthy recently agreed that it is now more appropriate to reliable AI research as Computational Intelligence (CI), because primitive methodologies have matured and science continues to witness more hybrid solutions. It is true that modern AI techniques typically employ multiple techniques and many now form hybrid systems with flexible problem solving capabilities or increased autonomy. This book contains a series of topics aimed at illustrating advances in modern AI.
This book provides discussion on a number of recent innovations that include: classifiers, neural networks, fuzzy logic, Multi-Agent Systems (MASs) and several example applications.
In this book the basic concepts of soft computing are dealt in detail with the relevant information and knowledge available for understanding the computing process. The various neural network concepts are explained with examples, highlighting the difference between various architectures. Fuzzy logic techniques have been clearly dealt with suitable examples. Genetic algorithm operators and the various classifications have been discussed in lucid manner, so that a beginner can understand the concepts with minimal effort. The book can be used as a handbook as well as a guide for students of all engineering disciplines, soft computing research scholars, management sector, operational research area, computer applications and for various professionals who work in this area. Contents:- Chapter 1.
Artificial Neural Network: An Introduction? Supervised Learning Network? Associative Memory Networks? Unsupervised Learning Networks? Special Networks? Introduction to Fuzzy Logic, Classical Sets and Fuzzy Sets? Classical Relations and Fuzzy Relations?
Membership Functions? Fuzzy Arithmetic and Fuzzy Measures? Fuzzy Rule Base and Approximate Reasoning? Fuzzy Decision Making? Fuzzy Logic Control Systems? Genetic Algorithm?
Hybrid Soft Computing Techniques? Applications of Soft Computing? Soft Computing Techniques Using C and C++?
MATLAB Environment for Soft Computing Techniques Bibliography Sample Question Paper 1 Sample Question Paper 2 Sample Question Paper 3 Sample Question Paper 4 Sample Question Paper 5 Index Printed Pages: 748. Bookseller Inventory # 12928.