optimal neural network algorithm
USE OF GENETIC SVM FOR ECG ARRHYTHMIA CLASSIFICATION
... feedforward neural network has been hampered by the lack of training algorithm which reliably finds a nearly globally optimal set of ...a neural network classifier of PVC beats ...
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Neural Network and Genetic Algorithm Based Finite Element Model for Optimal Die Shape Design in Al 1100 Cold Forward Extrusion
... artificial neural networks ANN with 2–25 neurons was trained; it was found that ANN with 8 neurons for x-stress, 6 neurons for y-stress, 8 neurons for z-stress, and 5 neurons for effective stress in one hidden ...
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Optimal Feature Selection by Genetic Algorithm for Classification Using Neural Network
... Genetic Algorithm is one such technique which helps to select the optimal features ...forward neural network is used in the study to classify these ...
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Optimizing locomotive body structures using imperialist competitive algorithm
... competitive algorithm (ICA) and artificial neural network was proposed to find optimal weight of structures while natural frequencies were in the determined ...
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FIR Digital Filter and Neural Network Design using Harmony Search Algorithm
... The Heuristic search method enhances the capability to explore and exploit locally as well as globally to obtain optimal design FIR Filter parameters. Heuristic algorithms are superior or atleast comparable to ...
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Original Article Infrared thermal imaging analysis of the human abdomen based on convolution neural network optimized by a genetic algorithm
... genetic algorithm with a convolutional neural network to construct a convolution neural network model (GA-CNN), which provides the basis of a diagnostic tool for doctors, also saving ...
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Application of Neural Network to Game Algorithm
... DOI: 10.4236/jcc.2018.62001 7 Journal of Computer and Communications This heuristic method with search ˅/˄ is to separate completely the process of generating the game tree from the process of calculating, evaluating and ...
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SCALED CONJUGATE GRADIENT NEURAL NETWORK MODELLING FOR PREDICTION OF CBR OF SOILS
... the optimal artificial neural network (ANN) model is developed for prediction of CBR using scaled conjugate gradient algorithm by considering the role of learning cycles and network ...
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Mill Load Control System Based on the Improved Ant Colony Neural Network
... of neural networks were trained using gradient descent algorithm such back propagation algorithm (BP) with a longer convergence time and more probability to fall into local ...colony ...
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APPLICATION OF CELLULAR AUTOMATA FOR MODELING AND REVIEW OF METHODS OF MOVEMENT OF A GROUP OF PEOPLE
... genetic algorithm in the first stage to get optimal weights for backpropagation network, then they used back propagation neural network, after that they trained and tested the ...
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THE OPTIMAL PERFORMANCE OF MULTI-LAYER NEURAL NETWORK FOR SPEAKER-INDEPENDENT ISOLATED SPOKEN MALAY PARLIAMENTARY SPEECH
... 78 The problem of locating the endpoints of an utterance in a speech signal is a major problem for speech recognizer. Efficiency of accurate endpoint detection has significant and direct effect on the performance of the ...
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The use of adversaries for optimal neural network training
... The input data is pre-processed by NB to transform each variable into a Gaussian dis- tribution. The batch-size was 100, and NB was trained over 150 epochs using the Broy- den–Fletcher–Goldfarb–Shanno algorithm ...
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A Hybrid System Based on Neural Network and Immune Co-Evolutionary Algorithm for Garment Pattern Design Optimization
... In Figure 1, the framework of the hybrid system consists of two stages including fit prediction and size optimization. In fit prediction, the garment size vectors are normalized by the body sizes. Moreover, each piece of ...
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OILSPILL AND LOOK-ALIKE SPOTS FROM SAR IMAGERY USING OTSU METHOD AND ARTIFICIAL NEURAL NETWORK
... artificial neural network based on Backpropagation algorithm achieves the optimal result in discriminating oil spill from look-alike, since most of SAR images are correctly ...BPN ...
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Differential evolution for neural networks learning enhancement
... Artificial Neural Network (ANN) ...determine optimal value for ANN parameters such as learning rate and momentum rate and also for weight ...of neural network ...forward neural ...
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QoE-aware Optimization of Video Stream Downlink Scheduling Over LTE Networks Using RNNs and Genetic Algorithm
... scheduling algorithm of video streaming over LTE ...scheduling algorithm has been used based on genetic algorithm (GA) integrated with Random neural network (RNN) to identify ...
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Credit Prediction with Neural Network Algorithm
... metode Neural Network dengan apply model pada rapid miner menunjukkan bahwa muncul prediksi yang akan menentukan apakah metode Neural Network dapat memberikan prediksi ...metode Neural ...
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FLEXIBLE SHARING IN DHT BASED P2P NETWORKS USING METADATA OF RESOURCE
... Our networks use Gaussian radial functions which, in 2-dimensions, look like bumps or hills. The Gaussian bumps are placed in a flat z = 0 function space at input locations where the desired mapping output is known, i.e. ...
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Classification Using Two Layer Neural Network Back Propagation Algorithm
... layer neural network back propagation method was proposed to diagnose the breast ...layer neural network back propagation algorithm input layer is not counted because it serves only to ...
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DETECTION AND CLASSIFICATION OF DIABETIC RETINOPATHY USING ADAPTIVE BOOSTING AND ARTIFICIAL NEURAL NETWORK
... convolutional neural network, trained the eye images with most suitable hyper- parameters, and got the one with best evaluation ...Artificial Neural Network performed very impressive in this ...
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