[PDF] Top 20 Optimization of Hybrid Journal Bearing using Artificial Neural Network and Genetic Algorithm

Optimization of Hybrid Journal Bearing using Artificial Neural Network and Genetic Algorithm

... Figure 12 shows the Pareto front for the combination of objective functions and of the bearing. Pareto optimal front provides 25 design options, among which the best ones are to be selected from the plot. From ... See full document

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Modeling and Optimization of Energy Inputs and Greenhouse Gas Emissions for Eggplant Production Using Artificial Neural Network and Multi-Objective Genetic Algorithm

... and optimization of energy use and greenhouse gas emissions of eggplant production using artificial neural network and multi-objective genetic algorithm in Guilan province ... See full document

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Task Time Optimization of a Robot Manipulator using Artificial Neural Network and Genetic Algorithm

... constraints. Genetic algorithm is implemented to optimize the parameters associated with the selected motion trajectory ...an artificial neural network which is used to obtain task ... See full document

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Optimization of machining parameters in wire electrical discharge machine process by combination of genetic algorithm and artificial neural network

... selecting optimization parameters is costly and time ...paper, artificial neural network (ANN) and genetic algorithm (GA) are used together to establish the parameter ... See full document

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← Return to Article Details MODELING AND OPTIMIZATION OF IN SYRINGE MAGNET STIRRING ASSISTED-DISPERSIVE LIQUIDLIQUID MICROEXTRACTION METHOD FOR EXTRACTION OF CADMIUM FROM FOOD SAMPLES BY ARTIFICIAL NEURAL NETWORK AND GENETIC ALGORITHM

... time, artificial neural network (ANN) and genetic algorithm (GA) have been employed to modeling and optimization of in syringe magnet stirring assisted dispersive liquid-liquid ... See full document

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Volume Flow Rate Optimization of an Axial Fan by Artificial Neural Network and Genetic Algorithm

... by using the experimental design method of the Latin Hypercube Sampling (LHS) to generate forty ...The optimization was carried out using the genetic algorithm (GA) coupled with the ... See full document

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Artificial neural network, genetic algorithm, and logistic regression applications for predicting renal colic in emergency settings

... A genetic algorithm (GA) [4, 5] is a good method for finding quick solutions to hard combinatorial optimization problems where there are too many combinations to search and were first put forward by ... See full document

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A Hybrid Model using Artificial Neural Network and Genetic Algorithm for Degree of Injury Determination

... a hybrid technique of Artificial Neural Network with Genetic Algorithm (ANN-GA) to optimize the weight of Artificial Neural ...built using AHP in the ... See full document

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Shape Optimization of Pedestals Using Artificial Neural Network

... and artificial neural networks in a gradientless method of shape ...shape optimization approach for minimizing stress concentration ...for optimization called as ‘curvature function ...shape ... See full document

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Estimation of LLE Data for Binary Systems of N-Formylmorpholine with Alkanes Using Artificial Neural Network–Genetic Algorithm (ANN–GA) Model

... Artificial neural networks (ANNs) which are collections of flexible mathematical functions imitate biological systems using a number of interconnected artificial neurons to recognize complex ... See full document

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Artificial neural network and optimization algorithm to improve soil resistance by means of aggregation size variation

... this, Artificial Neural Network (ANN) was employed to evaluate the effect of different combinations of soil particles on bearing ...trained using the Genetic Algorithm ... See full document

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Accuracy Enhancement of Artificial Neural Network using Genetic Algorithm

... to optimization problems. Basic ideas on Genetic algorithms were first developed by John Holland, and are mainly used as search and optimization ...In network planning, a solution point could ... See full document

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Differential evolution for neural networks learning enhancement

... the optimization of a certain multi-dimensional ...on Artificial Neural Network (ANN) ...of neural network ...forward neural network to enhance the learning process ... See full document

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New Intelligent Classification Techniques for Diagnosis of Diabetes Mellitus based on Modified PSO

... treatment. Hybrid optimization techniques are in the form Artificial Neural networks, Genetic Algorithm, Fuzzy classifier, Support Vector Machine, Least Squares Support Vector ... See full document

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Medical Image Compression using Neural Network with HGAPSO Optimization

... feed-forward neural network with 16 input nodes, 4 hidden nodes and 16 output nodes with the BPA as a training algorithm is considered in this work [1] ...the algorithm depends on the initial ... See full document

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Bearing Fault Detection Using Artificial Neural Networks and Genetic Algorithm

... One of the problems with the PNN is handling the skewed training data, where the data from one class are sig- nificantly more than the other class. The presence of skewed data is more likely in a real environment as the ... See full document

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Spam detection using hybrid of artificial neural network and genetic algorithm

... Many researches are founded in applying Artificial Neural Network (ANN). The major cons of ANN are that it needs considerable time to select the parameter and network training. On the other ... See full document

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A Hybrid of Artificial Bee Colony, Genetic Algorithm, and Neural Network for Diabetic Mellitus Diagnosing

... population-based optimization algorithm that tries to achieve global minimum (Karaboga, et ...stochastic optimization algorithm that mimics the foraging behavior of the ...this ... See full document

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A FASTER ESTIMATION ALGORITHM APPLIED TO POWER QUALITY PROBLEMS

... training algorithm for estimation purposes. The proposed algorithm utilizes particle swarm optimization combined with gradient descent to train weights of neural ...proposed algorithm ... See full document

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An evolutionary algorithm based Feature extraction and selection to Persian and Arabic Handwritten Recognition

... of genetic algorithm and simulated annealing has been used in [Saberi ...Swarm Optimization and genetic algorithm have been used for better recognition of Persian handwritten ...a ... See full document

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