Neural Network And Fuzzy Logic Applications In C C PDF Download
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| Author | : Stephen T. Welstead |
| Publisher | : Wiley |
| Total Pages | : 494 |
| Release | : 1994-07-13 |
| Genre | : Computers |
| ISBN | : 9780471309741 |
Download Neural Network and Fuzzy Logic Applications in C/C++ Book in PDF, ePub and Kindle
Using an engineering and science perspective, it explores diverse neural network, fuzzy logic and genetic algorithm techniques plus developing applications best suited for each of the methods discussed. Sample results are described and judgment made as to how well each application worked. The book/disk set includes an object-oriented user interface along with the code for numerous programs.
| Author | : Stephen T Welstead |
| Publisher | : |
| Total Pages | : |
| Release | : 1994-08-01 |
| Genre | : |
| ISBN | : 9785554800092 |
Download Neural Network and Fuzzy Logic Applications in C-C++ Book in PDF, ePub and Kindle
| Author | : Stephen T. Welstead |
| Publisher | : |
| Total Pages | : |
| Release | : 1994 |
| Genre | : |
| ISBN | : |
Download Neural Network and Fuzzy Logic Applications in C Book in PDF, ePub and Kindle
| Author | : Lakhmi C. Jain |
| Publisher | : CRC Press |
| Total Pages | : 366 |
| Release | : 2020-01-29 |
| Genre | : Computers |
| ISBN | : 1000722945 |
Download Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms Book in PDF, ePub and Kindle
Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural net, fuzzy system, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another. This book presents specific projects where fusion techniques have been applied. The chapters start with the design of a new fuzzy-neural controller. Remaining chapters discuss the application of expert systems, neural networks, fuzzy control, and evolutionary computing techniques in modern engineering systems. These specific applications include: direct frequency converters electro-hydraulic systems motor control toaster control speech recognition vehicle routing fault diagnosis Asynchronous Transfer Mode (ATM) communications networks telephones for hard-of-hearing people control of gas turbine aero-engines telecommunications systems design Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms covers the spectrum of applications - comprehensively demonstrating the advantages of fusion techniques in industrial applications.
| Author | : Ronald R. Yager |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 358 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 1461536405 |
Download An Introduction to Fuzzy Logic Applications in Intelligent Systems Book in PDF, ePub and Kindle
An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book. Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature.
| Author | : Hayagriva V. Rao |
| Publisher | : |
| Total Pages | : 551 |
| Release | : 1996 |
| Genre | : C++ (Computer program language) |
| ISBN | : 9788170296942 |
Download C++ Neural Networks and Fuzzy Logic Book in PDF, ePub and Kindle
| Author | : Horst Bunke |
| Publisher | : World Scientific |
| Total Pages | : 276 |
| Release | : 2000-12-22 |
| Genre | : Computers |
| ISBN | : 9814492396 |
Download Neuro-fuzzy Pattern Recognition Book in PDF, ePub and Kindle
Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition. Neuro-fuzzy systems aim at combining the advantages of the two paradigms. This book is a collection of papers describing state-of-the-art work in this emerging field. It covers topics such as feature selection, classification, classifier training, and clustering. Also included are applications of neuro-fuzzy systems in speech recognition, land mine detection, medical image analysis, and autonomous vehicle control. The intended audience includes graduate students in computer science and related fields, as well as researchers at academic institutions and in industry.
| Author | : Eyal Kolman |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 108 |
| Release | : 2009-01-17 |
| Genre | : Computers |
| ISBN | : 3540880763 |
Download Knowledge-Based Neurocomputing: A Fuzzy Logic Approach Book in PDF, ePub and Kindle
This book details the state-of-the-art in knowledge-based neurocomputing. It introduces a novel fuzzy-rule base known as Fuzzy All-permutations Rule-Base (FARB) and presents new connections between artificial neural networks and FARB.
| Author | : Danuta Rutkowska |
| Publisher | : Physica |
| Total Pages | : 292 |
| Release | : 2012-11-13 |
| Genre | : Computers |
| ISBN | : 379081802X |
Download Neuro-Fuzzy Architectures and Hybrid Learning Book in PDF, ePub and Kindle
The advent of the computer age has set in motion a profound shift in our perception of science -its structure, its aims and its evolution. Traditionally, the principal domains of science were, and are, considered to be mathe matics, physics, chemistry, biology, astronomy and related disciplines. But today, and to an increasing extent, scientific progress is being driven by a quest for machine intelligence - for systems which possess a high MIQ (Machine IQ) and can perform a wide variety of physical and mental tasks with minimal human intervention. The role model for intelligent systems is the human mind. The influ ence of the human mind as a role model is clearly visible in the methodolo gies which have emerged, mainly during the past two decades, for the con ception, design and utilization of intelligent systems. At the center of these methodologies are fuzzy logic (FL); neurocomputing (NC); evolutionary computing (EC); probabilistic computing (PC); chaotic computing (CC); and machine learning (ML). Collectively, these methodologies constitute what is called soft computing (SC). In this perspective, soft computing is basically a coalition of methodologies which collectively provide a body of concepts and techniques for automation of reasoning and decision-making in an environment of imprecision, uncertainty and partial truth.
| Author | : Puyin Liu |
| Publisher | : World Scientific |
| Total Pages | : 400 |
| Release | : 2004 |
| Genre | : Computers |
| ISBN | : 9789812794215 |
Download Fuzzy Neural Network Theory and Application Book in PDF, ePub and Kindle
This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to help the reader grasp the underlying theory. This is a valuable reference for scientists and engineers working in mathematics, computer science, control or other fields related to information processing. It can also be used as a textbook for graduate courses in applied mathematics, computer science, automatic control and electrical engineering. Contents: Fuzzy Neural Networks for Storing and Classifying; Fuzzy Associative Memory OCo Feedback Networks; Regular Fuzzy Neural Networks; Polygonal Fuzzy Neural Networks; Approximation Analysis of Fuzzy Systems; Stochastic Fuzzy Systems and Approximations; Application of FNN to Image Restoration. Readership: Scientists, engineers and graduate students in applied mathematics, computer science, automatic control and information processing."
