Neuro-Fuzzy System Modeling with Self-Constructed Rules and Hybrid Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neuro-Fuzzy System Modeling with Self-Constructed Rules and Hybrid Learning write by . This book was released on 2004. Neuro-Fuzzy System Modeling with Self-Constructed Rules and Hybrid Learning available in PDF, EPUB and Kindle.
Neuro-Fuzzy Architectures and Hybrid Learning
Neuro-Fuzzy Architectures and Hybrid Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neuro-Fuzzy Architectures and Hybrid Learning write by Danuta Rutkowska. This book was released on 2012-11-13. Neuro-Fuzzy Architectures and Hybrid Learning available 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.
Neuro-fuzzy Modeling
Neuro-fuzzy Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Neuro-fuzzy Modeling write by Jyh-Shing Jang. This book was released on 1992. Neuro-fuzzy Modeling available in PDF, EPUB and Kindle.
Flexible Neuro-Fuzzy Systems
Flexible Neuro-Fuzzy Systems - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Flexible Neuro-Fuzzy Systems write by Leszek Rutkowski. This book was released on 2004-05-19. Flexible Neuro-Fuzzy Systems available in PDF, EPUB and Kindle. Flexible Neuro-Fuzzy Systems is the first professional literature about the new class of powerful, flexible fuzzy systems. The author incorporates various flexibility parameters to the construction of neuro-fuzzy systems. This approach dramatically improves their performance, allowing the systems to perfectly represent the pattern encoded in data. Flexible Neuro-Fuzzy Systems is the only book that proposes a flexible approach to fuzzy modeling and fills the gap in existing literature. This book introduces new fuzzy systems which outperform previous approaches to system modeling and classification, and has the following features: -Provides a framework for unification, construction and development of neuro-fuzzy systems; -Presents complete algorithms in a systematic and structured fashion, facilitating understanding and implementation, -Covers not only advanced topics but also fundamentals of fuzzy sets, -Includes problems and exercises following each chapter, -Illustrates the results on a wide variety of simulations, -Provides tools for possible applications in business and economics, medicine and bioengineering, automatic control, robotics and civil engineering.
Handbook on Decision Making
Handbook on Decision Making - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Handbook on Decision Making write by Chee Peng Lim. This book was released on 2010-09-07. Handbook on Decision Making available in PDF, EPUB and Kindle. Decision making arises when we wish to select the best possible course of action from a set of alternatives. With advancements of the digital technologies, it is easy, and almost instantaneous, to gather a large volume of information and/or data pertaining to a problem that we want to solve. For instance, the world-wi- web is perhaps the primary source of information and/or data that we often turn to when we face a decision making problem. However, the information and/or data that we obtain from the real world often are complex, and comprise various kinds of noise. Besides, real-world information and/or data often are incomplete and ambiguous, owing to uncertainties of the environments. All these make decision making a challenging task. To cope with the challenges of decision making, - searchers have designed and developed a variety of decision support systems to provide assistance in human decision making processes. The main aim of this book is to provide a small collection of techniques stemmed from artificial intelligence, as well as other complementary methodo- gies, that are useful for the design and development of intelligent decision support systems. Application examples of how these intelligent decision support systems can be utilized to help tackle a variety of real-world problems in different - mains, e. g. business, management, manufacturing, transportation and food ind- tries, and biomedicine, are also presented. A total of twenty chapters, which can be broadly divided into two parts, i. e.
