genetic fuzzy neural network
Control of Nonlinear Industrial Processes Using Fuzzy Wavelet Neural Network Based on Genetic Algorithm
... Which are all free design parameters that to be updated by GA in our FWNN model. H is number of network training data. According to Fig. 1, the output is measured in each iteration and will be given to the GA ...
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HYBRID AND INTEGRATED APPROACH TO SHORT TERM LOAD FORECASTING
... systems, Fuzzy, Genetic Algorithm, Artificial Neural Network ...Regression, Fuzzy and Neural along with Genetic Algorithm will empower the analysts to strongly forecast ...
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Application of Soft Computing approaches in Crop Irrigation: A survey
... are fuzzy logic, artificial neural network, genetic algorithm have shown great ability in solving problems in agricultural system such as crop selection, crop planning, irrigation planning, ...
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Implementation of Evolutionary Computing Techniques for Cancer Diagnosis Using Digital Signal Processor
... like Fuzzy Logic, Genetic Algorithm, Neural Network, and Adoptive Neuro-Fuzzy Inference System (ANFIS) for diagnosis of cancer using TMS320C6713 (Texas Instruments) DSP (Digital Signal ...
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A Survey of Image Segmentation Methods using Conventional and Soft Computing Techniques for Color Images
... like network which perform color image segmentation using multilevel ...technique. Neural network is used to find multiple objects in the ...The network consists of three layers such as input ...
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International Journal of Computer Science and Mobile Computing
... like Fuzzy Logic, Artificial neural network, Genetic algorithms, Swarm optimization, etc are used for this purpose to distinguish, compare or process the various structure of ...sequence. ...
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Effective Analysis of Lung Infection using Fuzzy Rules
... Soft Computing is conglomerate of methodologies which works together and provides an ability to make a decision from reliable data or expert’s experience. Nowadays different types of soft computing techniques such as ...
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Bedload transport predictions based on field measurement data by combination of artificial neural network and genetic programming
... model provides a good fit for the measured data. The combined ANN-GP model results therefore appear to be more acceptable than the results of a single ANN or GP model in the context of this study and in comparison with ...
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Fuzzy Logic Genetic Algorithm Neural Network for Mobile Robot Navigation: A Survey
... of fuzzy sliding mode control (FSMC). The fuzzy target tracking control unit (FTTCU) consisted by the behavior network and the gate network has been applied to the target tracking control with ...
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Intelligent PID Controller on Soft Computing
... applies fuzzy system, neural network technique and genetic algorithm to PID controller in order to achieve intelligent adjustment the controlled variables ...
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SOFT COMPUTING AND ITS USE IN RISK MANAGEMENT
... The risk management processes can be ranked among the most complicated processes because the society creates the phenomena with significant rate of chaotic behaviour. In cases when it is necessary to make a decision it ...
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Soft-Computing Based Data Mining: A Review
... involving fuzzy sets, neural networks, genetic algorithms, rough sets, and their hybridizations, have recently been used to solve data mining ...model. Fuzzy sets, which constitute the oldest ...
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Comparative study on mathematical and black box modelling approaches of musculoskeletal system
... There are two approaches that are commonly used to model the musculoskletal systems, mathematical and black box modeling approaches. This paper presents comparative assessment between a mathematical and black box model ...
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Implementation of Artificial Intelligence Technique to Regulate a DC-DC Converter for Transient Compensation
... are Fuzzy logic, Ant Algorithm, Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Artificial Immune Systems (AIS), Artificial Neural Network (ANN) ...and Fuzzy logic have been ...
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Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software
... Artificial Neural Network, Fuzzy logic, Genetic Algorithm, Genetic Programming, Evolutionary Programming, Evolutionary Strategy and also provide a tabular comparison of these techniques ...
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A Technical Review on Intrusion Detection System
... like Neural Network, Support Vector Machine, Genetic algorithm, Clustering, Fuzzy Logic can be used to implement ...sized network which catches the standard ...diverse network, ...
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Analysis Of Edge Detection Techniques For Image Segmentation Using Neural Networks
... Neural network edge detection is associate rising field that consists of complementary parts of fuzzy logic, neural computing and biological process ...computation. Neural ...
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Artificial Intelligence in Diagnosing Tuberculosis: A Review
... rule-based fuzzy system, it is an intelligent ...the fuzzy inference system, as the risk factors to detect TB. The neuro-fuzzy integrated system, consist of six ...optimizes fuzzy rule for ...
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A framework for the Recognition of Human Emotion using Soft Computing models
... and Fuzzy logic based edge detection has been ...emotions. Genetic Algorithm has been applied to optimize the ellipse characteristics of the eye ...Back-propagation Neural Network ...
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Vol 9, No 1 (2014)
... explains Genetic Algorithm and its working ...of Genetic Algorithm are presented. Genetic Algorithms possesses several important features such as evolution, search, optimization and ...of ...
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