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Download Intelligent Hybrid Systems fb2, epub

by Suran Goonatilake,Sukhdev Khebbal

Download Intelligent Hybrid Systems fb2, epub

ISBN: 0471942421
Author: Suran Goonatilake,Sukhdev Khebbal
Language: English
Publisher: Wiley; 1 edition (April 1995)
Pages: 340
Category: Computer Science
Subcategory: IT
Rating: 4.2
Votes: 546
Size Fb2: 1483 kb
Size ePub: 1129 kb
Size Djvu: 1114 kb
Other formats: docx lit rtf azw


Intelligent Hybrid Systems. Intelligent hybrid systems for financial decision making.

Intelligent Hybrid Systems. Intelligent Systems for Finance and Business.

Partial table of contents: Intelligent Hybrid Systems: Issues, Classifications and Future Directions (S. Goonatilake & S. Khebbal).

Format Hardback 340 pages. Partial table of contents: Intelligent Hybrid Systems: Issues, Classifications and Future Directions (S. FUNCTION-REPLACING HYBRIDS. Neural Network Weight Selection Using Genetic Algorithms (D. Montana).

"Suran Goonatilake". Retrieved 2017-06-22.

Intelligent Hybrid Systems book. Internationally renowned experts came together to produce this. Suran Goonatilake, Sukhdev Singh Khebbal

Intelligent Hybrid Systems. Suran Goonatilake, Sukhdev Singh Khebbal. From the Publisher: Internationally renowned experts came together to produce this book, which will clarify and define the emerging and significant area of hybridizing intelligent systems.

Goonatilake, Suran; Khebbal, Sukhdev, eds. (1995-01-30). Intelligent Hybrid Systems. Chichester: John Wiley & Sons. Goonatilake, Suran; Khebbal, Sukhdev, eds. Citation Count: 32 · Downloads (cumulative): n/a · Downloads (12 Months): n/a · Downloads (6 Weeks): n/a.

The hybrid system SOCAIN, a combination of a cellular automaton, a neural network and a genetic algorithm is an example for the fruitfulness of using self-reference in a systematic way. In particular, such systems consist of mutually dependent sub systems, . form no static hierarchy.

Suran Goonatilake and Sukhdev Khebbal, Ed. Intelligent Hybrid System, John Wiley and Sons, 1995. S. Butakov and D. Rubtsov, ''Development of hybrid expert system shell automation'', Control, and Information Technology, ACTA Press, 2002.

There is now a growing realisation in the intelligent systems community that many complex problems require hybrid solutions. Increasingly, hybrid systems combining genetic algorithms, fuzzy logic, neural networks and expert systems are proving their effectiveness in a wide variety of real-world problems. This timely book brings together leading researchers from the United States, Europe and Asia who are pioneering the theory and application of Intelligent Hybrid Systems. The book provides a definition of hybrid systems, summarises the current state of the art, and presents contributions that detail innovative methods for integrating different intelligent techniques. Application examples are drawn from domains including industrial control, financial and business modelling, and cognitive simulation. The book is also intended to equip researchers, application developers and managers with key references and resource material for the successful development of hybrid systems.

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