A new paradigm of knowledge engineering by soft computing /
Soft computing (SC) consists of several computing paradigms, including neural networks, fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as genetic algorithms. The integration of those constituent methodologies forms the core of SC. In addition, the synergy allo...
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| Online Access: |
Full text (MCPHS users only) |
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| Corporate Authors: | , |
| Other Authors: | |
| Format: | Electronic Conference Proceeding eBook |
| Language: | English |
| Published: |
Singapore ; River Edge, NJ :
World Scientific,
2001
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| Series: | FLSI soft computing series ;
v. 5. |
| Subjects: | |
| Local Note: | ProQuest Ebook Central |
| Summary: | Soft computing (SC) consists of several computing paradigms, including neural networks, fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as genetic algorithms. The integration of those constituent methodologies forms the core of SC. In addition, the synergy allows SC to incorporate human knowledge effectively, deal with imprecision and uncertainty, and learn to adapt to unknown or changing environments for better performance. Together with other modern technologies, SC and its applications exert unprecedented influence on intelligent systems that mimic hum. |
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| Item Description: | Extended versions of selected papers from the 5th International Conference on Soft Computing, originally published in 1998. |
| Physical Description: | 1 online resource (xiv, 374 pages) : illustrations |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9789812794604 9812794603 |
| Source of Description, Etc. Note: | Print version record. |
