Open AccessBook
Fuzzy and neural approaches in engineering
Lefteri H. Tsoukalas,Robert E. Uhrig +1 more
- 01 Jan 1997
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TL;DR: Fuzzy and Neural Approaches in Engineering presents a detailed examination of the fundamentals of fuzzy systems and neural networks and then joins them synergistically - combining the feature extraction and modeling capabilities of the neural network with the representation capabilities of fuzzy Systems.
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Abstract: From the Publisher:
Fuzzy and Neural Approaches in Engineering presents a detailed examination of the fundamentals of fuzzy systems and neural networks and then joins them synergistically - combining the feature extraction and modeling capabilities of the neural network with the representation capabilities of fuzzy systems. Exploring the value of relating genetic algorithms and expert systems to fuzzy and neural technologies, this forward-thinking text highlights an entire range of dynamic possibilities within soft computing. With examples of specifically designed to illuminate key concepts and overcome the obstacles of notation and overly mathematical presentations often encountered in other sources, plus tables, figures, and an up-to-date bibliography, this unique work is both an important reference and a practical guide to neural networks and fuzzy systems.
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Citations
A fuzzy logic resource manager and underlying data mining techniques
J.F. Smith,R.D. Rhyne +1 more
- 10 Jul 2000
TL;DR: Data mining activities related to development of the resource manager are described, with a focus on genetic algorithm-based optimization.
7
Using a Genetic Algorithm to Build a Volume Weighted Average Price Model in a Stock Market
TL;DR: In this article, the authors predict the intraday trading volume using various methods to properly conduct volume weighted average price (VWAP) trading, including dynamic time warping (DTW) and a genetic algorithm (GA).
7
Reserve Fleet Indexed To Exogenous Cost Variables
TL;DR: In this article, the optimal time to replace a passenger bus in a bus fleet has implications on the size of the reserve fleet, which depends on endogenous and exogenous economic variables.
A Reliable Visual Inspection Method for Vulnerability Assessment of Hyperstatic Structures Using Fuzzy Logic Analysis
TL;DR: The goal of this paper is to give relevant weight, in the fuzzy analysis, not only to the single expression of degradation, due to its localization within the element, but also to the structural element itself by assigning a different resistance to the various elements.
•Journal Article
Soft computing algorithms in price of Taiwan real estates
Hong-Yu Lin,Kuentai Chen +1 more
TL;DR: It is found that SVR with trial-and-error method performed the best with MAPE=4.466% and R2=0.8540, which are the three common variables for both BPNN and SVR.
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