Soft Computing: Developments, Methods and Applications
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| Title: | Soft Computing: Developments, Methods and Applications |
|---|---|
| Description: | This book discusses developments, methods and applications of soft computing. Chapter One depicts the increasing efficiency of the soft computing algorithms and fuzzy information processing models by developing a library of universal analytic models for fuzzy arithmetic operations with asymmetrical triangular fuzzy numbers (TrFNs). Chapter Two examines the determination of stability number of layered slope using Adaptive Neuro-Fuzzy Inference System (ANFIS), Gaussian Process Regression (GPR), Relevance Vector Machine (RVM), Extreme Learning Machine (ELM). Chapter Three discusses the intensive developing of Soft Computing systems especially Wavelet-Neuro-Fuzzy Systems (WNFS) in Dynamic Data Mining tasks, when the data are fed sequentially to the processing in on-line mode. |
| Authors: | Casey, Alan |
| Resource Type: | eBook. |
| Subjects: | Soft computing |
| Categories: | COMPUTERS / General |
| Database: | eBook Collection (EBSCOhost) |
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