£108.92

Springer - Fundamentals of Computational Intelligence 652

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Description

Explore the systematic presentation of main trends and technologies in computational intelligence with this specialized monograph from Springer. Part of the Studies in Computational Intelligence series, this book focuses on the development of fuzzy logic (FL) systems and fuzzy neural networks (FNN). Readers will gain a deep understanding of different FNN models, including the new class of cascade neo-fuzzy neural networks. The text provides detailed descriptions and analyses of various training algorithms used in these systems. Beyond theory, the book examines practical applications of fuzzy neural networks in forecasting macroeconomics and stock markets. It also addresses complex problems like portfolio optimization under uncertainty and introduces the novel theory of fuzzy p. This resource is designed for those studying computer science, AI, and machine learning who require a technical approach to modern CI methods.

Key Features

Systematic presentation of main trends, technologies, and methods within the field of computational intelligence (CI).

Detailed focus on fuzzy logic (FL) systems and fuzzy neural networks (FNN) as key CI technologies.

In-depth analysis of cascade neo-fuzzy neural networks and their specific training algorithms.

Practical application studies covering macroeconomic forecasting and stock market analysis.

Technical examination of portfolio optimization problems occurring under conditions of uncertainty.

Part of the professional Studies in Computational Intelligence series (Volume 652) by Springer.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
11 July 2016
Listed Since
07 April 2016

Barcode

No barcode data available

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