| Description |
xiv, 331 pages : illustrations, map ; 23 cm |
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text txt rdacontent |
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unmediated n rdamedia |
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volume nc rdacarrier |
| Note |
Includes index. |
| Contents |
About the author -- Preface -- 1: Fundamentals of soft computing -- 2: Fuzzy computing -- 3: Artificial neural network -- 4: Deep learning -- 5: Probabilistic reasoning -- 6 Population-based algorithms -- 7: Rough set theory -- 8: Hybrid systems -- Index. |
| Summary |
"Principles of soft computing using Python programming provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and their many applications, both demonstrated and theoretical. The result is a set of tools with the potential to produce new solutions to the thorniest computing problems." -- back of book. |
| Subject |
Soft computing.
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Python (Computer program language)
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| ISBN |
9781394173136 hardcover |
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139417313X hardcover |
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