Soft Computing and Intelligent Systems Design: Theory, Tools and Applications Book

Name: Soft Computing and Intelligent Systems Design: Theory, Tools and
Brand: Addison-Wesley
SKU: 9780321116178
Price: 99.99 USD
Availability: InStock
Rating: 4 (2 reviews)

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Soft Computing and Intelligent Systems Design: Theory, Tools and Applications, Soft computing has changed the way we think about artificial intelligence. Its biology-inspired approach to intelligent systems design combines approximate reasoning, artificial neural networks and evolutionary computing to solve real-world problems where, Soft Computing and Intelligent Systems Design: Theory, Tools and Applications

4 out of 5 stars based on 2 reviews

Soft Computing and Intelligent Systems Design: Theory, Tools and Applications
Written by author Fakhreddine O. Karray
Published by Addison Wesley, September 2004
Soft computing has changed the way we think about artificial intelligence. Its biology-inspired approach to intelligent systems design combines approximate reasoning, artificial neural networks and evolutionary computing to solve real-world problems where
Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog and LISP invented in the 1960s. These are referred to as "crisp" techniques by the soft computing

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Pt. I Fuzzy logic and fuzzy control 1
Ch. 1 Introduction to intelligent systems and soft computing 3
Ch. 2 Fundamentals of fuzzy logic systems 57
Ch. 3 Fuzzy logic control 137
Pt. II Connectionist modeling and neural networks 221
Ch. 4 Fundamentals of artificial neural networks 223
Ch. 5 Major classes of neural networks 249
Ch. 6 Dynamic neural networks and their applications to control and chaos prediction 299
Ch. 7 Neuro-fuzzy systems 337
Pt. III Evolutionary and soft computing 363
Ch. 8 Evolutionary computing 365
Pt. IV Applications and case studies 405
Ch. 9 Soft computing for smart machine design 407
Ch. 10 Tools of soft computing in real-world applications 475
Case study 1 Expert parameter tuning of DC motor controller 476
Case study 2 Stabilizing control of a high-order power system by neural adaptive feedback linearization 497
Case study 3 Soft computing tools for solving a class of facilities layout planning problem 510
Case study 4 Mobile position estimation using an RBF network in CDMA cellular systems 522
Case study 5 Learning-based resource optimization in ATM networks 533

Title: Soft Computing and Intelligent Systems Design: Theory, Tools and Applications

Manufacturer:

Addison-Wesley

Item Number: 9780321116178

Publication Date: September 2004

Number: 1

Product Description: Full Name: Soft Computing and Intelligent Systems Design: Theory, Tools and Applications; Short Name:Soft Computing and Intelligent Systems Design

Universal Product Code (UPC): 9780321116178

WonderClub Stock Keeping Unit (WSKU): 9780321116178

Rating: 4/5 based on 2 Reviews

Image Location: https://wonderclub.com/images/covers/61/78/9780321116178.jpg

Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 6.500 cm (2.56 inches)

Heigh : 9.500 cm (3.74 inches)

Depth: 1.300 cm (0.51 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

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Soft Computing and Intelligent Systems Design: Theory, Tools and Applications, Soft computing has changed the way we think about artificial intelligence. Its biology-inspired approach to intelligent systems design combines approximate reasoning, artificial neural networks and evolutionary computing to solve real-world problems where, Soft Computing and Intelligent Systems Design: Theory, Tools and Applications

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Soft Computing and Intelligent Systems Design: Theory, Tools and Applications Book

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Pt. I	Fuzzy logic and fuzzy control	1
Ch. 1	Introduction to intelligent systems and soft computing	3
Ch. 2	Fundamentals of fuzzy logic systems	57
Ch. 3	Fuzzy logic control	137
Pt. II	Connectionist modeling and neural networks	221
Ch. 4	Fundamentals of artificial neural networks	223
Ch. 5	Major classes of neural networks	249
Ch. 6	Dynamic neural networks and their applications to control and chaos prediction	299
Ch. 7	Neuro-fuzzy systems	337
Pt. III	Evolutionary and soft computing	363
Ch. 8	Evolutionary computing	365
Pt. IV	Applications and case studies	405
Ch. 9	Soft computing for smart machine design	407
Ch. 10	Tools of soft computing in real-world applications	475
Case study 1	Expert parameter tuning of DC motor controller	476
Case study 2	Stabilizing control of a high-order power system by neural adaptive feedback linearization	497
Case study 3	Soft computing tools for solving a class of facilities layout planning problem	510
Case study 4	Mobile position estimation using an RBF network in CDMA cellular systems	522
Case study 5	Learning-based resource optimization in ATM networks	533