... Recently, neuralnetwork models have achieved consistent improvements in sta- tistical machine ...for feed-forwardneuralnetwork translation models and proposed to train the ...
... Generalized Feed- ForwardNeuralNetwork (GFFNN), and its prediction accuracy is compared with Linear Regression (LR) and Autoregression (AR) which have been the popular statistical meth- ods ...
... the neuralnetwork is the size of the ...the network during learning ...the network to reduce its size and make network size appropriate to solve a ...multilayer ...
... Layer FeedForwardNeuralNetwork Classifier (MLFNC) has been used to solve this problem which is caused due to ...artificial neuralnetwork in which, the information moves in ...
... multi-layer feed-forwardneuralnetwork for the prediction of DM using risk factors in the PIMA Indian DM ...the network, and the mean square error was used to measure ...The ...
... The problem addressed in this paper can be formally stated as: There is set of components SC and components have their own different nature representing FR (Functional Requirements) and NFR (Non Functional Requirements). ...
... FeedForwardNeuralNetwork is an artificial neuralnetwork (ANN). It used for classification of class labels [14]. It is developed from the biological phenomenon that takes ...
... multilayer feed-forwardneuralnetwork was built using the MATLAB ® , Neural Toolbox ™ , R2013b ...layer feed-forwardneuralnetwork is for its comprehensive ...
... Abstract - Hand gestures are primary means of communication among deaf and dumb humans and sign language is the most natural ,expressive and effective way of communication for dump and deaf people. This paper presents an ...
... Acoustic problem is a main issues of the existing classroom due to lack of absorption of surface material. Thus, a feedforwardneuralnetwork system (FFNN) for classroom Reverberation Time ...
... Multilayer FeedForwardNeuralNetwork(MFFN) and to deal with fast and accurate static security assessment (SSA) and contingency analysis of a large electric power ...
... 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 feedforwardNeural ...
... using feedforward ...The feedforwardneuralnetwork is used to detect weather the glaucoma disease is in initial or final stage, or disease can be cured or ...
... as neural networks classifier, tree based classifier, Hidden Markova Model (HMM) based classifier ...Artificial neural networks can handle non-convex decisions. Multi-layer feedforward ...
... and neural networks [2, ...on Feed-forwardNeuralNetwork (FNN) based classifiers for solving two-class classification tasks, that is, classifiers that assign patterns to one of two ...
... artificial neuralnetwork (ANN) is a computational model that attempts to account for the parallel nature of the human ...brain. Neural networks provide significant benefits in medical ...Artificial ...
... on feedforwardneuralnetwork which employs DE as the learning ...optimal network connection weights can be obtained by using island-based parallel differential evolution algorithm is ...