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Fuzzy Logic Systems Institute (FLSI) Soft Computing Series - Vol. 4
PRACTICAL APPLICATIONS OF SOFT COMPUTING IN ENGINEERING
edited by Sung-Bae Cho (Yonsei University, Korea)
Soft computing has been presented not only with the theoretical developments but also with a large variety of realistic applications to consumer products and industrial systems. Application of soft computing has provided the opportunity to integrate human-like vagueness and real-life uncertainty into an otherwise hard computer program.
This book highlights some of the recent developments in practical applications of soft computing in engineering problems. All the chapters have been sophisticatedly designed and revised by international experts to achieve wide but in-depth coverage.
Contents:
- Automatic Detection of Microcalcifications in Mammograms
Using a Fuzzy Classifier (A P Drijarkara et al.)
- Predictive Fuzzy Model for Control of an Artificial Muscle (P B Petrovic)
- Evolutionary Computation for Information Retrieval Based on User Preference (H-G Kim & S-B Cho)
- Fuzzy Logic and Neural Networks Approach — A Way to Improve Overall Performance of Integrated Heating Systems (E Entchev)
- Design and Tuning a Neurofuzzy Power System Stabilizer Using Genetic Algorithms (A Afzalian & D A Linkens)
- An Application of Logic Programs with Soft Computing Aspects to Fault Diagnosis in Digital Circuits (H Sakai et al.)
- Determination of the Motion Parameters from the Perspective Projection of a Triangle (M M Sein & H Hama)
- and other papers
Readership: Graduate students, industrial researchers and academics in
fuzzy logic, software engineering, neural networks and artificial intelligence.
| 440pp |
Pub. date: Jan 2001 |
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