microhole electrical discharge machining (EDM) system with daptive fuzzy logic control and precision piezoelectric stage is eveloped in this study. A high-speed EDM monitoring system is mplemented to measure the gap voltage, current, and ignition elay time, which are used to derive three input parameters—the verage gap voltage, deviation in spark ratio, and change in the eviation in spark ratio...

This paper proposes an integrated real time fault analysis tool for transmission line. The two primary techniques used in the fault analysis tool, uzzy adaptive resonance theory (ART) neural network and synchronized sampling, can offer accurate fault detection, classification, internal/external ault differentiation, and fault location. The paper makes several extensions of the two techniques so...

This article proposes a novel fuzzy sliding-mode control scheme under an adaptive strategy for energy management mechanism in electric vehicles that are subject to regenerative braking system. The effectiveness of the logic controller is adjust sliding mode parameters according slip ratio tracking error between optimal and actual ratio. Specifically, proposed torque distribution can integrate b...

This paper describes the application of a new multi-criteria decision making (MCDM) technique called fuzzy outranking to map prospectivity for porphyry Cu Mo deposits. Various raster-based evidential layers involving geological, geophysical, and geochemical geo-data sets are integrated for mineral prospectivity mapping (MPM). In a case study, 13 layers of the Now Chun deposit located in the Ker...

With vigorous development of the Internet, e-learning system has become more and more popular and many adaptive learning systems have been developed. In recent years, researchers have proposed various approaches for developing adaptive learning systems based on concept maps. Nevertheless, most of them deal only with binary grades of each test item, furthermore, the existing methods that based o...

a neuro-fuzzy modeling tool (anfis) has been used to dynamically model cross flow ultrafiltration of milk. it aims to predict permeate flux and total hydraulic resistance as a function of transmembrane pressure, ph, temperature, fat, molecular weight cut off, and processing time. dynamic modeling of ultrafiltration performance of colloidal systems (such as milk) is very important for designing ...

This paper provides a corrected formulation to the mixed integer programming model proposed by Aydogan et al. (2012) [1]. They proposed a genetic algorithm to learn fuzzy rules for a fuzzy rule-based classification system and developed a Mixed Integer Programming model (MIP) to prune the generated rules by selecting the best set of rules to maximize predictive accuracy. However, their proposed ...

In this paper, optimal control for stochastic linear singular Takagi–Sugeno (T–S) fuzzy delay system with quadratic performance is obtained using genetic programming (GP). To obtain the optimal control, the solution of matrix Riccati differential equation (MRDE) is computed by solving differential algebraic equation (DAE) using a novel and nontraditional GP approach. The GP solution is equivale...