Soft Computing

Author:
Editor: Allied Publishers
ISBN: 9788177646320
File Size: 28,85 MB
Format: PDF, Kindle
Read: 7636
Download


Soft Computing

Author: Samir Roy
Editor: Pearson Education India
ISBN: 9332514208
File Size: 60,38 MB
Format: PDF
Read: 1270
Download

Soft computing is a branch of computer science that deals with a family of methods that imitate human intelligence. This is done with the goal of creating tools that will contain some human-like capabilities (such as learning, reasoning and decision-making). This book covers the entire gamut of soft computing, including fuzzy logic, rough sets, artificial neural networks, and various evolutionary algorithms. It offers a learner-centric approach where each new concept is introduced with carefully designed examples/instances to train the learner.

Soft Computing

Author: Andrea Tettamanzi
Editor: Springer Science & Business Media
ISBN: 9783540422044
File Size: 16,74 MB
Format: PDF, Kindle
Read: 1558
Download

Soft computing encompasses various computational methodologies, which, unlike conventional algorithms, are tolerant of imprecision, uncertainty, and partial truth. Soft computing technologies offer adaptability as a characteristic feature and thus permit the tracking of a problem through a changing environment. Besides some recent developments in areas like rough sets and probabilistic networks, fuzzy logic, evolutionary algorithms, and artificial neural networks are core ingredients of soft computing, which are all bio-inspired and can easily be combined synergetically. This book presents a well-balanced integration of fuzzy logic, evolutionary computing, and neural information processing. The three constituents are introduced to the reader systematically and brought together in differentiated combinations step by step. The text was developed from courses given by the authors and offers numerous illustrations as

Soft Computing

Author: Devendra K. Chaturvedi
Editor: Springer Science & Business Media
ISBN: 3540774807
File Size: 58,43 MB
Format: PDF, ePub, Docs
Read: 1676
Download

This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA. The approach in this book is to provide an understanding of the soft computing field and to work through soft computing using examples. It also aims to integrate pseudo-code operational summaries and Matlab codes, to present computer simulation, to include real world applications and to highlight the distinctive work of human consciousness in machine.

Soft Computing In Software Engineering

Author: Ernesto Damiani
Editor: Springer Science & Business Media
ISBN: 9783540220305
File Size: 79,12 MB
Format: PDF, ePub, Docs
Read: 3117
Download

This book illustrates the impact of soft computing techniques on software engineering research and practices dealing with a range of novel methods reshaping the software development process. Specifically, it is shown how Software Engineering tasks such as reuse-oriented classification (e.g. components’ repositories), software diagnostic (e.g. bug detection and correction), effort prediction (e.g. project costs and time estimation), planning (e.g. project scheduling) and others can be appropriately handled by means of soft computing techniques. The book is a valuable reference for practitioners as well as an updated resource of ongoing interdisciplinary research in Soft Computing in Software Engineering.

Analysis And Design Of Intelligent Systems Using Soft Computing Techniques

Author: Patricia Melin
Editor: Springer Science & Business Media
ISBN: 354072432X
File Size: 65,89 MB
Format: PDF, ePub, Mobi
Read: 1961
Download

This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.

Theoretical Advances And Applications Of Fuzzy Logic And Soft Computing

Author: Oscar Castillo
Editor: Springer Science & Business Media
ISBN: 3540724346
File Size: 63,48 MB
Format: PDF, Mobi
Read: 9189
Download

This book comprises a selection of papers on theoretical advances and applications of fuzzy logic and soft computing from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007. These papers constitute an important contribution to the theory and applications of fuzzy logic and soft computing methodologies.

Intelligent Systems And Soft Computing

Author: Behnam Azvine
Editor: Springer Science & Business Media
ISBN: 3540678379
File Size: 51,86 MB
Format: PDF, Docs
Read: 3340
Download

Artificial intelligence has, traditionally focused on solving human-centered problems like natural language processing or common-sense reasoning. On the other hand, for a while now soft computing has been applied successfully in areas like pattern recognition, clustering, or automatic control. The papers in this book explore the possibility of bringing these two areas together. This book is unique in the way it concentrates on building intelligent software systems by combining methods from diverse disciplines, such as fuzzy set theory, neuroscience, agent technology, knowledge discovery, and symbolic artificial intelligence. The first part of the book focuses on foundational aspects and future directions; the second part provides the reader with an overview of recently developed software tools for building flexible intelligent systems; the final section studies developed applications in various fields.

Soft Computing For Knowledge Discovery And Data Mining

Author: Oded Maimon
Editor: Springer Science & Business Media
ISBN: 038769935X
File Size: 19,52 MB
Format: PDF, Mobi
Read: 3073
Download

Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability. This book introduces soft computing methods extending the envelope of problems that data mining can solve efficiently. It presents practical soft-computing approaches in data mining and includes various real-world case studies with detailed results.

Applied Soft Computing Technologies The Challenge Of Complexity

Author: Ajith Abraham
Editor: Springer Science & Business Media
ISBN: 3540316620
File Size: 65,87 MB
Format: PDF, Docs
Read: 6470
Download

This volume presents the proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications, held on the World Wide Web in 2004. It includes lectures, original papers and tutorials presented during the conference. The book brings together outstanding research and developments in soft computing, including evolutionary computation, fuzzy logic, neural networks, and their fusion, and its applications in science and technology.

Artificial Intelligence And Soft Computing Icaisc 2008

Author: Leszek Rutkowski
Editor: Springer Science & Business Media
ISBN: 3540695729
File Size: 73,52 MB
Format: PDF, Docs
Read: 2998
Download

computing techniques.

Advances In Soft Computing

Author: Jose M. Benitez
Editor: Springer Science & Business Media
ISBN: 9781852337551
File Size: 32,82 MB
Format: PDF, ePub, Mobi
Read: 9349
Download

"The 7th Online World Conference on Soft Computing in Industrial Applications was organized by the World Federation of Soft Computing, Department of Computer Science and Artificial Intelligence, University of Granada" -- p. vi.

Soft Computing Agents

Author: Vincenzo Loia
Editor: IOS Press
ISBN: 9784274905445
File Size: 52,21 MB
Format: PDF, Kindle
Read: 4237
Download

A study of soft computing agents. It seeks to: explore the development of soft computing-based agents; examine the role of soft computing-based technology in facets of agent design; and cross-fertilise ideas on the soft computing perspective to the development of agent-based systems.

Applications Of Soft Computing

Author: Ashutosh Tiwari
Editor: Springer Science & Business Media
ISBN: 9783540362661
File Size: 52,23 MB
Format: PDF
Read: 2056
Download

This book provides a comprehensive overview of recent advances in the industrial applications of soft computing. It covers a wide range of application areas, including optimisation, data analysis and data mining, computer graphics and vision, prediction and diagnosis, design, intelligent control, and traffic and transportation systems. The book is aimed at researchers and professional engineers engaged in developing and applying intelligent systems.

Soft Computing And Industry

Author: Rajkumar Roy
Editor: Springer Science & Business Media
ISBN: 9781852335397
File Size: 18,73 MB
Format: PDF, Kindle
Read: 9793
Download

Soft computing embraces various methodologies for the development of intelligent systems that have been successfully applied to a large number of real-world problems. This text contains a collection of papers that were presented at the 6th On-line World Conference on Soft Computing in Industrial Applications that was held in September 2001. It provides a comprehensive overview of recent theoretical developments in soft computing as well as of successful industrial applications. It is divided into seven parts covering material on: keynote papers on various subjects ranging from computing with autopoietic systems to the effects of the Internet on education intelligent control classification, clustering and optimization image and signal processing agents, multimedia and Internet theoretical advances prediction, design and diagnosis. The book is aimed at researchers and professional engineers who develop and apply intelligent systems in computer engineering.

Soft Computing Applications In Business

Author: Bhanu Prasad
Editor: Springer Science & Business Media
ISBN: 3540790047
File Size: 46,27 MB
Format: PDF, ePub
Read: 9259
Download

Soft computing techniques are widely used in most businesses. This book consists of several important papers on the applications of soft computing techniques for the business field. The soft computing techniques used in this book include (or very closely related to): Bayesian networks, biclustering methods, case-based reasoning, data mining, Dempster-Shafer theory, ensemble learning, evolutionary programming, fuzzy decision trees, hidden Markov models, intelligent agents, k-means clustering, maximum likelihood Hebbian learning, neural networks, opportunistic scheduling, probability distributions combined with Monte Carlo methods, rough sets, self organizing maps, support vector machines, uncertain reasoning, other statistical and machine learning techniques, and combinations of these techniques. The businesses or business problems addressed in this book include (or very closely related to): analysis of correlations between currency exchange rates, analysis of USA banks and Moody’s bank financial strength rating, arrears management, business risk identification, company audit fee evaluation, dental treatments, business internal control, intelligent tutoring systems and educational assessment, modeling agent behavior, motor insurance industry, personal loan defaults, pricing strategies for increasing the market share, pricing strategies in supply chain management, probabilistic sales forecasting, user relevance feedback analysis for online text retrieval, and world crude oil spot price forecasting.

Neural Networks And Soft Computing

Author: Leszek Rutkowski
Editor: Springer Science & Business Media
ISBN: 3790819026
File Size: 63,89 MB
Format: PDF
Read: 405
Download

This volume presents new trends and developments in soft computing techniques. Topics include: neural networks, fuzzy systems, evolutionary computation, knowledge discovery, rough sets, and hybrid methods. It also covers various applications of soft computing techniques in economics, mechanics, medicine, automatics and image processing. The book contains contributions from internationally recognized scientists, such as Zadeh, Bubnicki, Pawlak, Amari, Batyrshin, Hirota, Koczy, Kosinski, Novák, S.-Y. Lee, Pedrycz, Raudys, Setiono, Sincak, Strumillo, Takagi, Usui, Wilamowski and Zurada. An excellent overview of soft computing methods and their applications.

Learning And Soft Computing

Author: Vojislav Kecman
Editor: MIT Press
ISBN: 9780262112550
File Size: 27,46 MB
Format: PDF, Kindle
Read: 2330
Download

This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The book assumes that it is not only useful, but necessary, to treat SVM, NN, and FLS as parts of a connected whole. Throughout, the theory and algorithms are illustrated by practical examples, as well as by problem sets and simulated experiments. This approach enables the reader to develop SVM, NN, and FLS in addition to understanding them. The book also presents three case studies: on NN-based control, financial time series analysis, and computer graphics. A solutions manual and all of the MATLAB programs needed for the simulated experiments are available.

Soft Computing Applications In Industry

Author: Bhanu Prasad
Editor: Springer Science & Business Media
ISBN: 3540774645
File Size: 43,12 MB
Format: PDF, Kindle
Read: 4198
Download

Softcomputing techniques play a vital role in the industry. This book presents several important papers contributed by some of the well-known scientists from all over the globe. The application domains discussed in this book include: agroecology, bioinformatics, branched fluid-transport network layout design, dam scheduling, data analysis and exploration, detection of phishing attacks, distributed terrestrial transportation, fault detection of motors, fault diagnosis of electronic circuits, fault diagnosis of power distribution systems, flood routing, hazard sensing, health care, industrial chemical processes, knowledge management in software development, local multipoint distribution systems, missing data estimation, parameter calibration of rainfall intensity models, parameter identification for systems engineering, petroleum vessel mooring, query answering in P2P systems, real-time strategy games, robot control, satellite heat pipe design, monsoon rainfall forecasting, structural design, tool condition monitoring, vehicle routing, water network design, etc. The softcomputing techniques presented in this book are on (or closely related to): ant-colony optimization, artificial immune systems, artificial neural networks, Bayesian models, case-based reasoning, clustering techniques, differential evolution, fuzzy classification, fuzzy neural networks, genetic algorithms, harmony search, hidden Markov models, locally weighted regression analysis, probabilistic principal component analysis, relevance vector machines, self-organizing maps, other machine learning and statistical techniques, and the combinations of the above techniques.

Soft Computing And Its Applications

Author: Rafik Aziz ogly Aliev
Editor: World Scientific
ISBN: 9789810247003
File Size: 62,28 MB
Format: PDF, ePub, Docs
Read: 9259
Download

The concept of soft computing is still in its initial stages of crystallization. Presently available books on soft computing are merely collections of chapters or articles about different aspects of the field. This book is the first to provide a systematic account of the major concepts and methodologies of soft computing, presenting a unified framework that makes the subject more accessible to students and practitioners. Particularly worthy of note is the inclusion of a wealth of information about neuro-fuzzy, neuro-genetic, fuzzy-genetic and neuro-fuzzy-genetic systems, with many illuminating applications and examples.