artificial neural network training
Artificial Neural Network Training By Using Regrouping Particle Swarm Optimization
... for Artificial Neural Network training by using Re-grouping Particle Swarm Optimization ...ANN training by using Regrouping-PSO the objective function is taken as the Mean Square Error ...
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Parallel computing for artificial neural network training
... on-chip training system that utilizes back-propagation algorithm for synaptic weight update was proposed by Hasan et ...The training of the system was evaluated with some nonlinearly separable datasets ...
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Optimization of underwater wet welding process parameters using neural network
... by artificial neural network training ...for training, test- ing, and validation. The trained neural network with sat- isfactory results can be used as a black box in the ...
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Implementation of Neural Network Back Propagation Training Algorithm on FPGA
... for training multilayer artificial neural network is studied and successfully implemented on ...online training of neural networks on FPGA than training in computer system ...
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Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK
... The neural system is arranged into hidden layers, input and output of the Artificial Neural Networks ...or training stage, the ability of the ANN to generalize the problem with samples other ...
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Prediction of Engineered Cementitious Composite Material Properties Using Artificial Neural Network
... As shown in Figure 10, for tensile yield strength, all errors are between -0.1038 (-10.38%) and 0.1337 (13.37%) illustrate a quite negligible error. Also, the validation and test errors are between -0.07875 (-7.85%) and ...
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Optimizing Process Parameters of Rotary Furnace using Bio fuels: An Interactive ANN Approach
... Nowadays artificial neural networks have been used extensively as a soft computing tool because of its inherent capability to learn mapping between a set of input and output values ...the network is ...
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A Hybrid of Artificial Bee Colony, Genetic Algorithm, and Neural Network for Diabetic Mellitus Diagnosing
... between neural network and other optimization methods is in the means by which of weights are ...the network is trained through ...the training an ANN through these weights updating and ...
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Estimation of groundwater level using a hybrid genetic algorithm-neural network
... of neural networks, which is utilized in the most frequently mentioned studies for aquifers ...longer training time (Chau, ...forward neural network; therefore, numerical weights of neuron ...
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Development and implementation of intelligent Condition Monitoring System for steam turbine trips
... by artificial neural network (ANN), developed by training the network with real operational data, may be proven to be useful for real- time monitoring of a power ...
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Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO
... of training in the ...process. Artificial neural network has ability of tracing a nonlinear form relationship between input and output ...ability, artificial neural networks have ...
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Pneumonia identification using organizing map algorithm
... and artificial neural ...Also, artificial neural network is used to build a database of different cases of pneumonia infected and normal x-ray images, training the network ...
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Osmotic Drying Rate Estimation for Dehydration of Beetroot Slices using Artificial Neural Network
... of neural network is in its training & algorithm suggested by Rumelhart [9] is popular in this ...using Artificial Neural Network [15] ...
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Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)
... for training, (225 x 4) for testing and (225 x 4) for validation ...(during training, testing and validation), though it consumes a little bit of more ...
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Deep learning : an introduction for applied mathematicians
... and training an artificial neural network using a simple ...general network. Training a network, which involves the solution of an optimization problem, is the main ...
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A Feed-Forward Neural Network Model For The Accurate Prediction Of Diabetes Mellitus
... An artificial neural network model with the Levenberg-Marquardt training algorithm is built using the PIMA Indian Diabetes ...feed-forward artificial neural ...
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Artificial Neural Network Involved in the Action of Optimum Mixed Refrigerant (Domestic Refrigerator) (TECHNICAL NOTE)
... for training artificial neural network (ANN) to get the optimum mixture of Hydro fluorocarbon (HFC) and organic compound (Hydrocarbons) for obtaining higher coefficient of Performances ...
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Training a functional link neural network using an artificial bee colony for solving a classification problems
... for training the ...the training speeds are typically much slower as compared to other single layer feedforward networks ...the network training in MLP become challenging ...Link Neural ...
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A Review: Evaluating the Parametric Optimization of Electrical Discharge Machining (EDM) by Using & Comparing Artificial Neural Network (ANN) and Genetic Algorithm (GA)
... manner. Artificial Neural Network model should be generated for both electrode geometry and various electrode materials to compare the influence of both in ...
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Sentiment Analysis Using Hybrid Machine Learning Technique
... Neural network has been applied in this study. The concept of Artificial neural network(ANN) is similar to the working of human brain which learns to take decision from the past ...
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