Neuro-Fuzzy Modeling for Multi-Objective Test Suite OptimizationRegression testingtest suite optimizationneuro-fuzzy modelingcomputational intelligenceRegression testing is a type of testing activity, which ensures that source code changes do not affect the unmodified portions of the software adversely. This ...
In this paper, we designed and implemented an expert system for TSR problem by using neuro-fuzzy modeling-based approaches known as "adaptive neuro-fuzzy inference system with grid partitioning" (ANFIS-GP) and "adaptive neuro-fuzzy inference system with subtractive clustering" (ANFIS-SC). Two ...
Simplifying a neuro-fuzzy model作者:G. Castellano, A. M. Fanelli 摘要 Neuro-fuzzy modeling allows a fuzzy system to be refined by neural training, thus avoiding lenghty trial-and-error phases in defining both membership functions and inference rules. An approach to obtain simple neuro-fuzzy mode...
This paper presents the continued work of a previously proposed ANFIS (Adaptive Neuro-Fuzzy Fuzzy Inference System) architecture with emphasis on the applications to dynamic system identification. We demonstrate the use of ANFIS for the hair dryer modeling problem and compare its performance with the ...
Sharifie J, Lucas C, Araabi BN (2006) Locally linear neurofuzzy modeling and prediction of geomagnetic storms based on solar wind conditions. Space Weather 4:1–12 Article Google Scholar Isermann R, Munchhof M (2011) Identification of dynamic systems: an introduction with applications. Springe...
Modeling and adaptive neuro-fuzzy inference system control of quarter electric vehicle This paper presents application of Adaptive Neuro-fuzzy inference system (ANFIS) into a squirrel cage induction machine towards modeling, control and estim... R Baz,K El Majdoub,F Giri,... - 《Indonesian Journal...
Modeling and adaptive neuro-fuzzy inference system control of quarter electric vehicle This paper presents application of Adaptive Neuro-fuzzy inference system (ANFIS) into a squirrel cage induction machine towards modeling, control and estim... R Baz,K El Majdoub,F Giri,... - 《Indonesian Journal...
2) neuro-fuzzy models 神经模糊模型 1. A class of neuro-fuzzy models based the modeling techniques and applications are studied to complex nonlinear dynamical systems. 研究和总结了基于一类神经模糊模型在非线性动态系统建模技术和应用。 更多例句>> 3) fuzzy neural model 模糊神经模型 1. For the ...
As such modeling, the cause and effect relationship between yield and these factors could provide an approach for pre-harvest yield forecast. Prediction... K Borse,PG Agnihotri 被引量: 0发表: 2021年 ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR OKRA YIELD PREDICTION The need for quantitative ...
A Neuro-Fuzzy modeling for prediction of solar cycles 24 and 25. Astrophys Space Sci, 2013, 344: 5-11Attia AF, Ismail HA, Basurah HM (2013) A neuro-fuzzy modeling for predic- tion of solar cycles 24 and 25. Astrophys Space Sci 344:5-11. https://doi. org/10.1007/s10509-012-1300...