Multilayer feed-forward neural network (MLFF)
Multilayer Feed Forward Neural Network Integrated with Dynamic Learning Algorithm by Pruning of Nodes and Connections
... the neural network is the size of the ...the network during learning ...the network to reduce its size and make network size appropriate to solve a ...with multilayer ...
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A Comparative Study of Multilayer Feed-forward Neural Network and Radial Basis Function Neural Network Models for Speech Recognition Priyanka Tyagi 1, Dr. Jayant Shekhar2
... of multilayer feed-forward neural network and Radial basis function neural network models for the recognition of speech ...selected neural network models and ...
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Contingency Ranking for Power System Using Multilayer Feed Forward Neural Network
... using Multilayer Feed Forward Neural Network(MFFN) and to deal with fast and accurate static security assessment (SSA) and contingency analysis of a large electric power ...
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Artificial Neural Network, Kidney, Glomerulonephritis, Clinical Tests, Computer-Aided Medical Diagnosis, Multilayer Feed Forward Neural Network
... artificial neural network (ANN) is a computational model that attempts to account for the parallel nature of the human ...a network of highly interconnecting processing elements (neurons) operating ...
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Prediction Of The Compressive Strength Of Palm Kernel Shell Ash Concrete Using Multilayer Feed Forward Neural Network
... a multilayer Feed-Forward Artificial Neural Network (MLFNN) model for predicting the compressive strength of concrete containing palm kernel shell ash (PKSA) as partial cement ...
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IJCSMC, Vol. 5, Issue. 7, July 2016, pg.382 – 386 A Comparative Study on Fraud Detection in Financial Statement using Data Mining Technique
... namely Multilayer Feed Forward Neural Network (MLFF)Sensitivity ...Probabilistic Neural Network (PNN) to identify financial that resort to financial statement fraud on a ...
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Identification of Iris Plant Using Feed Forward Neural Network On The Basis Of Floral Dimensions
... Fernández-Redondo, M. And Hernández-Espinosa C. Reviewed two very dissimilar types of input selection methods: the first one is based on the analysis of a trained multilayer feed forward ...
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Towards Neural Network Model for Insulin/Glucose in Diabetics-II
... general neural network model that resembles the interactions between glucose concentration levels and amount of insulin injected in the bodies of ...of neural networks (NN’s) are experimented in ...
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Comparative Study of Static and Dynamic Artificial Neural Network Models in Forecasting of Tehran Stock Exchange
... as neural network models, in modeling and forecasting the market indexes can yield impressive results (Aladag et ...as neural network models, is a response to the lack of consensus on ...
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Nonlinear System Identification Using Hammerstein-Wiener Neural Network and subspace algorithms
... a multilayer feed forward neural network to model the static nonlinear[13], least square and SVD for Hammerstein model[11],[8], recursive identification for Hammerstein system with ...
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Forecasting Malaysia load using a hybrid model
... the multilayer feed- forward neural network to forecast time series with seasonality, is shown to outperform both two single ...Average; Multilayer Feed- forward ...
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Comparative study of static and dynamic neural network models for nonlinear time series forecasting
... as neural network models, in modeling and forecasting the market indexes can yield impressive results (Aladag et ...as neural network models, is a response to the lack of consensus on ...
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Comparative Analysis of Classification Algorithms on Different Datasets using WEKA
... A multilayer feed-forward neural network Each layer is made up of ...the network correspond to the attributes measured for each training ...of neural network and ...
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Image Reconstruction Using Multi Layer Perceptron (MLP) And Support Vector Machine (SVM) Classifier And Study Of Classification Accuracy
... typical multilayer perceptron (MLP) network consists of a set of source nodes forming the input layer, one or more hidden layers of computation nodes, and an output layer of ...the network ...
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Event Identification in Prototype Fast Breeder Reactor Subsystem using Artificial Neural Network
... Artificial Neural Network ...events. Multilayer feed forward network using back propagation algorithm is implemented and training has been carried out to achieve least mean ...
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The Exchangeable Markov Multi-states Growth Process Incorporate with an Artificial Neural Network of Preterm Infants in an Incubator
... artificial neural network (ANN) has been recently proposed as a novel technique to control those parameters to provide a better and stabilized environment in an ...with multilayer ...
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Artificial Intelligence in the Estimation of Patch Dimensions of Rectangular Microstrip Antennas
... (Multilayer feed forward back propagation Artificial Neural Network) and RBF-ANN (Radial basis function Artificial Neural Network) has been used to implement the ...
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Prediction of Weld Bead Geometry and Penetration in Electric Arc Welding using Artificial Neural Networks
... propagation network is a multilayer feed forward network with a different transfer function in the artificial neuron and more powerful learning ...the network must be presented ...
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REVIEW STRATEGY FORFACERECOGNITION USING GABOR FILTER
... wavelets& feed forward neural network is ...& feed forward neural network for both finding feature points and extracting feature ...
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DATA PREDICTION FROM A SET OF SAMPLED DATA USING ARTIFICIAL NEURAL NETWORK IN MATLAB SIMULINK
... There has been a periodic evolution of MATLAB over the years with many users providing input. For basic and advanced mathematics, science, and engineering it is the general instruction tool used in a university ...
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