Backpropagation artificial neural network
Convergence Optimization of Backpropagation Artificial Neural Network Used for Dichotomous Classification of Intrusion Detection Dataset
... represents network intrusion detection techniques which consider only data captured in network ...as network-based ...a backpropagation artificial neural network using ...
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A power spectrum based backpropagation artificial neural network model for classification of sleep-wake stages in rats
... d backpropagation ANN (Ar tificial neur al networ k) ar chitectur e is des igned to clas s ify s leep-wake s tages in r ats ...the network and to class ify S WS (s low wave s leep), REM (r apid eye ...
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Temperature-Based Feed-Forward Backpropagation Artificial Neural Network For Estimating Reference Crop Evapotranspiration In The Upper West Region
... using artificial networks was achieved using MATLAB (Windows version ...with Neural Networks Toolbox ...of network types available for ANN applications and the choice of any network ...
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Comparative Study of Classification Techniques on Breast Cancer FNA Biopsy Data
... other Artificial neural network classifiers (Backpropagation, linear programming, Learning vector quantization, and K nearest neighborhood) on the Wisconsin breast cancer classification ...
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Weather prediction using Neural Network Backpropagation
... S. Laboret, et al altered the parameters using Bayesian and Artificial Neural Network filter methods for cumulative rainfall forecasting. Fair distribution is obtained from the selected data set and ...
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Hybrid learning-based model for exaggeration style of facial caricature
... on Artificial Neural Network (ANN), related methods which are Backpropagation Neural Network (BPNN), GA and Hybridization of both ...
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Rainfall Forecasting Using Backpropagation Neural Network
... Historical data on rainfall data is a non-linear data that process is stochastic and the problems of non-linear like this one can be solved using several methods. One popular method for forecasting rainfall based on ...
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TRAJECTORY TRACKING CONTROL OF SCORBOT-ER V PLUS ROBOT MANIPULATOR BASED ON KINEMATICAL APPROACH
... An Artificial Neural Network (ANN) based on Bees Algorithm using backpropagation algorithm was applied in (Bingul, Ertunc, & Oysu, 2005) to solve inverse kinematics problems of ind[r] ...
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Backpropagation neural network as earthquake early warning tool using a new modified elementary Levenberg–Marquardt Algorithm to minimise backpropagation errors
... Artificial neural networks could be used for the EEW; Gentili and Michelini (2006) designed automatic picking of P- and S-wave phases using artificial neural networks for EEW by training the ...
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Training Artificial Neural Networks: Backpropagation via Nonlinear Optimization
... regarding neural network training over both of those methods if taken ...above neural network training in a more complex system with application to neuro-control ( ...
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Daily Network Traffic Prediction Based on Backpropagation Neural Network
... the artificial neural network (ANN) model can provide better analytical results, and it is effective for forecasting (Chen et ...Propagation Neural Network (BPNN) to address the issue ...
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Backpropagation Neural Network Algorithm for Water Level Prediction
... of artificial neural network back propagation network algorithm for the prediction of water level is the actual data which is the result of observation using wireless sensor network at ...
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Detecting central fixation by means of artificial neural networks in a pediatric vision screener using retinal birefringence scanning
... supervised network creation functions in the Neural Networks toolbox, including the backpropagation network creation func- tions such as feedforwardnet and ...the network weights and ...
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Backpropagation Neural Network Experiment on Human Face Recognition
... There are many attempts proposed for recognition of human face and others objects in different areas and different techniques. There are three basic approaches. These approaches are (1) statistical pattern ...
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Backpropagation Neural Network Based on Local Search Strategy and Enhanced Multi-objective Evolutionary Algorithm for Breast Cancer Diagnosis
... the backpropagation neural ...automaticly artificial neural network design ...The network size and accuracy results of the proposed method are better than the previous ...
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INTERNETWORKING INDONESIA JOURNAL
... recipients. Artificial neural network (ANN) has been known for prediction based ...with backpropagation method is studied to find the best solution in deciding the recipients as the ...
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Analysis of Backpropagation Algorithm in Predicting the Most Number of Internet Users in the World
... is Artificial Neural Network ...by Artificial Neural Network using Matlab R2011b ...best network architecture generated is 3-50-1 with an accuracy of 92% and the Mean ...
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A subjective job scheduler based on a backpropagation neural network
... the neural network is an elementary information-processing ...an artificial neural network, first it is to be decided how many neurons are to be used and how the neurons are to be ...
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Application of Artificial Intelligence for Epilepsy Disease
... the network. The CNN instructed with backpropagation [8] and the hyper- parameters may be adjusted for most favorable instruction ...recurrent Neural Network (RNN) ...belief network ...
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A NOVEL LEADER ELECTION ALGORITHM FOR HONEYCOMB MESH NETWORKS
... various Artificial Neural Network (ANN) algorithms, such as the Variable Learning Rate Backpropagation model, Bayesian Regularization model, Levenburg-Marquardt model and others, to compare ...
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