feed-forward artificial neural network
Multi Layer Feed Forward Artificial Neural Network For Learning Styles Identification
... Previous researches have done to improve and automate the user modeling or the attempt of recognizing the student’s cognitive styles, learning goals, preference by utilizing the machine learning techniques. One of the ...
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Stock Market Prediction using Feed forward Artificial Neural Network
... of neural networks is compared against a benchmark linear autoregressive ...from neural network predictions are significantly different from unconditional one-day mean return and are likely to ...
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Feed Forward Artificial Neural Network Based Modelling of SVC & Wind Farm System
... and Artificial Neural Network. Concept of Artificial Neural Network is described in ...a Feed-Forward Neural Network is trained through MATLAB ...
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Image Compression using Fractal Image Compression with Multi Layer Feed Forward Artificial Neural Network
... Image compression is achieved by encoding the pixel blocks into the trained weight set, which is transmitted from the receiving side for reconstruction of theimages. The main apprehension of the work is to determine the ...
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Enhanced Software Effort Estimation Using Multi Layered Feed Forward Artificial Neural Network Technique
... Artificial Neural Networks is to adjust a complex set of bond among the various independent and dependent ...(Artificial Neural Network) based model technologically advanced using Multi Layered ...
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Feed Forward Artificial Neural Network Model for Air Pollutant Index Prediction in the Southern Region of Peninsular Malaysia
... Keywords: Air Pollutant Index (API); Principal Component Analysis (PCA); Artificial Neural Network (ANN); Rotated Principal Component Scores (RPCs); Feed-Forward ANN 1. Introduction ...
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Detection of Phishing Emails using Feed Forward Neural Network
... multilayer feed forward artificial neural network with back propagation, as a training algorithm, has been used for detecting phishing ...using neural network the two ...
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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 ...on feed-forward artificial neural ...
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Combined Sewer Overflow forecasting with Feed-forward Back-propagation Artificial Neural Network
... standard feed-forward, back-propagation of error algorithm was enhanced by a modified data normalizing technique that enabled the ANN model to extrapolate into the territory that was unseen by the training ...
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Artificial Neural Network, Kidney, Glomerulonephritis, Clinical Tests, Computer-Aided Medical Diagnosis, Multilayer Feed Forward Neural Network
... form. Neural Networks are ideal in recognizing diseases using scans since there is no need to provide a specific algorithm on how to identify the ...disease. Neural networks learn by example so the details ...
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Assamese Digit Recognition with Feed Forward Neural Network
... as neural networks classifier, tree based classifier, Hidden Markova Model (HMM) based classifier ...etc. Artificial neural networks can handle non-convex ...Multi-layer feed forward ...
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An Analysis of Migration in the Island Model on Feed Forward Neural Network
... Keywords Artificial Neural Network, Differential Evolution Algorithm, Island Model, Migration Topology, Medical Diagnosis ...problems. Neural networks have emerged as an important tool for ...
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Performance Evaluation of Feed Forward Neural Network for Image Classification
... Abstract: Artificial Neural Networks (ANNs) are one of the most comprehensive tools for ...of Feed Forward Neural Network (FFNN) with back-propagation algorithm is used to find ...
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Crop Cost Forecasting using Artificial Neural Network with feed forward back propagation method for Mysore Region
... The word network denotes inter–connections between the neurons in the diverse layers of every framework. A framework has three layers, the primary layer has input neurons, which send information by means of neuro- ...
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A Novel Strategy for Weight Initialization in Sigmoidal Feed-forward Artificial Neural Networks
... Abstract—Among the various parameters of a neural network, the initial values of the weights and biases pertaining to each artificial neuron have been given a lot of importance. In this paper, a ...
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Emotion Recognition using Feed Forward Neural Network & Naïve Bayes
... AUTHORS PROFILE First Author Mr .Rahul Mahadeo Shahane is working as Assistant Professor in Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India . His research ...
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Fault Diagnosis of Transmission Line using Feed Forward Neural Network
... The author Ahmad Abdullah [10] has proposed a new application of wavelet-based artificial neural networks (ANNs). The application uses high-frequency content of a subset of local currents of one end of a ...
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Short Term Load Forecasting With Feed Forward Neural Network Algorithm
... with feed forward neural network algorithm. Artificial Neural Network (ANN) has been proved as a powerful alternative for STLF that it is not relying on human ...
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Feed forward neural network application for classroom reverberation time estimation
... BIOGRAPHIES OF AUTHORS Fathin Liyana Zainudin received Master of Electrical Engineering from Universiti Kebangsaan Malaysia, Malaysia, in 2008. She currently pursue Doctoral degree in Electrical and Electronic ...
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Structure optimisation of input layer for feed-forward NARX neural network
... Montana D. and Davis L. (1989) ‘Training feedforward neural networks using genetic algorithms’. Proc. International Joint Conf. Artificial Intelligence, Vol.1, pp.762-767. Mohandes M.A., Rehman S. and ...
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