multilayer perceptron based neural networks
Characterization of Lossy SIW Resonators Based on Multilayer Perceptron Neural Networks on Graphics Processing Unit
... of Multilayer Perceptron Neural Networks (MLPNN) on GPU, has been ...Artificial Neural Networks (ANNs) have been recognized as useful alternative to conventional approaches ...
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Algorithm and software based on MLPNN for estimating channel use in the spectral decision stage in cognitive radio networks
... the multilayer perceptron neural networks (MLPNN) technique is proposed to estimate the future state of use of a licensed channel by primary users (PUs); this will be useful at the spectral ...
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Efficiency of Multilayer Perceptron Neural Networks Powered by Multi Verse Optimizer
... BPA shows good performance when handling wide range of questions, but it suffers an important weakness. The algorithm is based on gradient descent concept. So, if the initial weights, or even any coming weights, ...
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Numerical Solution of Sixth Order Differential Equations Arising in Astrophysics by Neural Network
... Hopfield neural network ...forward neural network. Artificial neural networks based on Broyden-Fletcher-Goldfarb-Shanno (BF GS) optimization technique for solving ordinary and partial ...
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Short-term prediction of NO2 and NOx concentrations using multilayer perceptron neural network: a case study of Tabriz, Iran
... Artificial neural networks (ANNs) are able to approxi- mate accurately complicated nonlinear input–output re- lationships. Like their physics-based numerical model counterparts, ANNs require training ...
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Image Reconstruction Using Multi Layer Perceptron (MLP) And Support Vector Machine (SVM) Classifier And Study Of Classification Accuracy
... learning based-kernel algorithm show preferred comes about over multilayer perceptron using back propagation neural networks and other intelligent ...The neural systems may be ...
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Thermal Effect Modeling on Passive Circuits with Mlp Neural Network for EMC Application
... is based on the algorithm developed in ...reason, multilayer perceptron non- linear networks are ...of neural model consists of different temperatures and the output represents the ...
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A generalized ABFT technique using a fault tolerant neural network
... of neural networks is not suitably utilized by current common learning algorithms such as BP, in order to have or enhance fault tolerance in neural ...of neural network can be greatly improved ...
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Detection of mastitis and its stage of progression by automatic milking systems using artificial neural networks
... artificial neural networks, multilayer perceptron (MLP) and self-organizing feature map (SOM) were used to detect mastitis by automatic milking systems (AMS) using a new mastitis indicator ...
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Monitoring and Fault Diagnosis for Chylla-Haase Polymerization Reactor
... multi-layer perceptron (MLP) neural network, and the resultant ability of networks, trained by the standard back-propagation algorithm, to identify the dynamics of non-linear systems was ...MLP ...
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Comparative Application of Radial Basis Function and Multilayer Perceptron Neural Networks to Predict Traffic Noise Pollution in Tehran Roads
... Network training and testing were performed using the same datasets applied to the MLP net- work. In order to increase the accuracy of RBF network, two parameters should be optimized: Spread and Maximum Number of Neurons ...
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Comparison of artificial neural network, random forest and random perceptron forest for forecasting the spatial impurity distribution
... artificial neural networks, random forest, and an approach was proposed in which a multilayer perceptron, a random perceptron forest, was used as a classifier ...forest based on ...
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System identification of hammerstein model a quarter car passive suspension systems using Multilayer Perceptron Neural Networks (MPNN)
... of neural networks for system ...using multilayer perceptron neural ...The networks structure is based on system ...is based on Fisher’s scoring ...
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Reducing Error Signal in Multilayer Perceptron Neural Networks using MLP for Label Ranking
... is based on fully connected feed-forward ...Several networks with one and two hidden layers, with different number of nodes in each hidden layer, have been ...a multilayer perceptron with two ...
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APPLICATION OF MULTILAYER PERCEPTRON BASED ARTIFICIAL NEURAL NETWORK FOR MODELING OF RAINFALL RUNOFF IN A HIMALAYAN WATERSHED
... artificial neural network (ANN) models, multi layer feed-forward neural network using Levenberg–Marquardt learning algorithm (LMFF) and radial basis function (RBF) models for predicting daily watershed ...
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Comparative Analysis of Classification Algorithms on Different Datasets using WEKA
... and Multilayer Perceptron algorithms using various accuracy measures like TP rate, FP rate, Precision, Recall, F-measure and ROC ...datasets Multilayer Perceptron is clearly better ...and ...
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ANNIDS: Artificial Neural Network based Intrusion Detection System for Internet of Things
... Artificial Neural Network (ANN) provides better accuracy and detection rate than other ...Artificial Neural Network based IDS (ANNIDS) technique based on Multilayer Perceptron ...
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Application of Artificial Neural Network and Adaptive Neural based Fuzzy Inference System Techniques in Estimating of Virtual Water
... techniques, Multilayer Perceptron (MLP), Radial Basis Functions (RBF), and Generalized Regression Neural Networks (GRNN) as well as ANFIS were examined in estimation of VW using measured data ...
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Gait Recognition Using Deep Learning
... Neural networks are predictive models loosely based on the action of biological ...name, neural networks are far from “thinking machines” or “artificial ...artifical neural ...
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Prediction of the pharmaceutical solubility in water and organic solvents via different soft computing models
... of neural networks: multilayer perceptron (MLP), radial basis function (RBF), and support vector machine (SVM) based on the group contribution method (GC) and particle swarm ...
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