[PDF] Top 20 Accuracy Enhancement of Artificial Neural Network using Genetic Algorithm

... The Artificial Neural Network (ANN) is a technique which is applied to solve data mining ...applications. Neural Network is a closely interconnected network, which offers rich ... See full document

... is Artificial Neural Network and Genetic Algorithm techniques by using critical features obtained from previous studies to increase the accuracy of the degree of injury ... See full document

... utilizes Genetic Algorithm and Artificial Neural Network (GANN) for classification of cloud server consumer to minimize the effect of EDoS attacks and will be beneficial to small and ... See full document

... optimization using genetic algorithm. Using genetic algorithm Boedo and Eshkabilov [5] performed the optimal shape design of a finite width journal ...a neural ... See full document

... proposed artificial neural network uses the optimized data generated by the genetic algorithm proposed in this paper and gives the optimal time, torques, velocities and accelerations ... See full document

... 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

... There are many articles in the medical literature measuring diagnostic tools for patients with acute flank pain. The main purpose of these studies is to find the safest and most cost- effective way to detect urinary ... See full document

... uses Artificial Neural Network Algorithm (ANNA) based on Genetic Algorithm (GA) to rearrange existing knowledge structure which combined with machine learning methods, for the ... See full document

... The neural system is arranged into hidden layers, input and output of the Artificial Neural Networks (ANNs). The neurons are joined together by a series of synaptic weights. An ANN is a powerful tool ... See full document

... earnings using an “artificial neural network with an error backward propagation algorithm” and an “artificial neural network with a genetic algo- rithm”, 61 ... See full document

... optimized neural network for predicting permeability based on swarm intelligent approach, named ant colony ...NN using the ...Optimization algorithm with Optimal Brain damage pruning ... See full document

... and Tachycardia reliant on Artificial neural network and the Genetic algorithm. Clinical databases have accrued large quantities of knowledge regarding patients and their medical ... See full document

... of artificial intelligence techniques to the Load-Forecasting ...Various Artificial Intelligence (AI) techniques used for load forecasting are Expert systems, Fuzzy, Genetic Algorithm, ... See full document

... and artificial neural networks in a gradientless method of shape ...problem using Boundary Element Method (BEM) and zero-order ...of artificial intelligence based techniques have taken an ... See full document

... reasoning, genetic algorithm, fuzzy logic techniques and neural networks ...A neural network is a massively parallel distributed processor that has a natural propensity for storing ... See full document

... As scientists and philosophers ponder human intelligence, several profound questions arise: what is intelligence and is it measurable, does intelligence even exist, and can it be reproduced in a machine? We immediately ... See full document

... Abstract— Artificial neural networks in the last decade, especially when linked to feedback, have been able to produce complex dynamics in control ...Although network designs are robust by the ANNs, ... See full document

... 10]. Genetic Algorithms are based on the methodology of natural selection ...of genetic material between parents will then take place which will lead to ...offsprings using crossover ...randomly. ... See full document

... 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 ... See full document

... PSO simulates the behaviour same as the bird flocking. Suppose the following scenario: a group of birds are randomly searching food in an area. The effective one is to follow the bird, which is nearest to the food. PSO ... See full document