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81Feedforward control / Power electronics / Control engineering / Engineering / Technology / Institute of Electrical and Electronics Engineers

1 PERSONAL DATA 1. Name: Hemanshu Roy Pota 2. Address: School of Engineering and Information Technology, The University of New South Wales @ Australian Defence Force Academy (UNSW@ADFA) Canberra ACT 2600, Australia (SEIT

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Source URL: seit.unsw.adfa.edu.au

Language: English - Date: 2013-11-12 19:17:54
82Statistics / Artificial neural network / Feedforward neural network / Perceptron / Statistical classification / Radial basis function / Types of artificial neural networks / NeuroSolutions / Neural networks / Machine learning / Cybernetics

TRAIN AND ANALYZE NEURAL NETWORKS TO FIT YOUR DATA TRAIN AND ANALYZE NEURAL NETWORKS TO FIT YOUR DATA September 2005 First edition

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Source URL: www.wolfram.com

Language: English - Date: 2005-12-27 14:36:27
83Science / Feedforward neural network / Artificial neural network / Activation function / Statistical classification / Backpropagation / Pattern recognition / Neural networks / Cybernetics / Machine learning

Artificial Neural Networks – Lab 4 Multi-Layer Feedforward Neural Networks Purpose To study multi-layer feedforward (MLFF) neural networks by using Matlab’s neural network toolbox

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Source URL: aass.oru.se

Language: English - Date: 2005-02-08 05:38:25
84Science / Feedforward neural network / Perceptron / Artificial neural network / Generalization error / Backpropagation / Hopfield network / Supervised learning / Pattern recognition / Neural networks / Machine learning / Cybernetics

Artificial Neural Networks Examination, March 2001 Instructions For each question, please select a maximum of ONE of the given answers (either A, B, C, D or E). You should select the one answer that represents the BEST p

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Source URL: aass.oru.se

Language: English - Date: 2004-06-07 09:38:12
85Science / Perceptron / ADALINE / Artificial neural network / Hebbian theory / Activation function / Feedforward neural network / Types of artificial neural networks / Neural networks / Machine learning / Cybernetics

Artificial Neural Networks – Lab 3 Simple neuron models and learning algorithms Purpose To study some basic neuron models and learning algorithms by using Matlab’s neural network toolbox.

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Source URL: aass.oru.se

Language: English - Date: 2005-02-08 05:38:24
86Artificial intelligence / Perceptron / Artificial neural network / Feedforward neural network / Multilayer perceptron / Backpropagation / Generalization error / Statistical classification / ADALINE / Neural networks / Cybernetics / Science

Artificial Neural Networks Examination, June 2005 Instructions There are SIXTY questions. (The pass mark is 30 out of 60). For each question, please select a maximum of ONE of the given answers (either A, B, C, D or E).

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Source URL: aass.oru.se

Language: English - Date: 2005-06-05 12:55:59
87Artificial intelligence / Feedforward neural network / Perceptron / Artificial neuron / Artificial neural network / Multilayer perceptron / Backpropagation / Generalization error / ADALINE / Neural networks / Cybernetics / Science

Artificial Neural Networks Examination, March 2004 Instructions There are SIXTY questions (worth up to 60 marks). The exam mark (maximum 60) will be added to the mark obtained in the laborations (maximum 5). The total pa

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Source URL: aass.oru.se

Language: English - Date: 2004-06-07 09:38:12
88Neuroscience / Perceptron / Feedforward neural network / Artificial neural network / Multilayer perceptron / ADALINE / Activation function / Statistical classification / Supervised learning / Neural networks / Cybernetics / Science

Artificial Neural Networks Examination, June 2004 Instructions There are SIXTY questions (worth up to 60 marks). The exam mark (maximum 60) will be added to the mark obtained in the laborations (maximum 5). The total pas

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Source URL: aass.oru.se

Language: English - Date: 2004-09-08 10:30:53
89Cybernetics / Science / Learning / Perceptron / Cognitive science / Backpropagation / Connectionism / Artificial neuron / Feedforward neural network / Neural networks / Machine learning / Computational neuroscience

Articial Neural Networks Read Ch. 4] Recommended exercises 4.1, 4.2, 4.5, 4.9, 4.11]  Threshold units  Gradient descent  Multilayer networks

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Source URL: aass.oru.se

Language: English - Date: 2005-03-31 12:57:42
90Machine learning / Science / Artificial neural network / Feedforward neural network / Artificial neuron / Backpropagation / Neuroph / Types of artificial neural networks / Neural networks / Computational neuroscience / Cybernetics

USING ARTIFICIAL NEURAL NETWORKS FOR THE CALCULATION OF AIR MASS FACTORS Diego Loyola Deutsches Zentrum für Luft- und Raumfahrt (DLR) Deutsches Fernerkundungsdatenzentrum (DFD) Oberpfaffenhofen, DWeßling, German

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Source URL: wdc.dlr.de

Language: English - Date: 2009-07-28 02:01:55
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