51![TRAIN AND ANALYZE NEURAL NETWORKS TO FIT YOUR DATA TRAIN AND ANALYZE NEURAL NETWORKS TO FIT YOUR DATA
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52![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 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](https://www.pdfsearch.io/img/c207a6eaa7ed95ec851eb442376b5bb3.jpg) | Add to Reading ListSource URL: aass.oru.seLanguage: English - Date: 2005-02-08 05:38:25
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53![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 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](https://www.pdfsearch.io/img/13d97e02cec9dd789af687740901ece7.jpg) | Add to Reading ListSource URL: aass.oru.seLanguage: English - Date: 2004-06-07 09:38:12
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54![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. 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.](https://www.pdfsearch.io/img/dff21800ee723cb1712c0aff0a1859de.jpg) | Add to Reading ListSource URL: aass.oru.seLanguage: English - Date: 2005-02-08 05:38:24
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55![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). 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).](https://www.pdfsearch.io/img/2e3c88169ca40bb7e8f9deb92fae9bb1.jpg) | Add to Reading ListSource URL: aass.oru.seLanguage: English - Date: 2005-06-05 12:55:59
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56![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 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](https://www.pdfsearch.io/img/e9486031dd2218c678f1744f4659402e.jpg) | Add to Reading ListSource URL: aass.oru.seLanguage: English - Date: 2004-06-07 09:38:12
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57![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 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](https://www.pdfsearch.io/img/47333c6b5b1e77d724a8c87b7438e946.jpg) | Add to Reading ListSource URL: aass.oru.seLanguage: English - Date: 2004-09-08 10:30:53
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58![Articial Neural Networks Read Ch. 4] Recommended exercises 4.1, 4.2, 4.5, 4.9, 4.11] Threshold units Gradient descent Multilayer networks Articial Neural Networks Read Ch. 4] Recommended exercises 4.1, 4.2, 4.5, 4.9, 4.11] Threshold units Gradient descent Multilayer networks](https://www.pdfsearch.io/img/dd36d41cd85e7af0100eedeb4d5e9015.jpg) | Add to Reading ListSource URL: aass.oru.seLanguage: English - Date: 2005-03-31 12:57:42
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59![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 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](https://www.pdfsearch.io/img/dfdf2d5f001e9da207db89b3bc25230b.jpg) | Add to Reading ListSource URL: wdc.dlr.deLanguage: English - Date: 2009-07-28 02:01:55
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60![A Course in Machine Learning Hal Daumé III
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