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.
| ISBN: | 9781634851336 |
| Publication date: | 1st May 2016 |
| Author: | Alan Casey |
| Publisher: | Nova Science Publishers an imprint of Nova Science Publishers, Inc |
| Format: | Paperback |
| Pagination: | 152 pages |
| Series: | Computer Science, Technology and Applications |
| Genres: |
Database design and theory |
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).
Soft Computing features in the following genres: Database design and theory
Paperback. Not Available.
Soft Computing was written by Alan Casey and published by Nova Science Publishers an imprint of Nova Science Publishers, Inc
Soft Computing has 152 pages
Yes it is part of Computer Science, Technology and Applications series