Artificial neural network

Results: 1863



#Item
831Statistics / Artificial neural network / Institute of Electrical and Electronics Engineers / Growing self-organizing map / Self-organizing map / Learning Vector Quantization / Random neural network / Teuvo Kohonen / Neural networks / Machine learning / Cybernetics

5384 works that have been based on the Self-Organizing Map (SOM) method developed by Kohonen Part II, authors from L to Z Compiled in the Neural Networks Resear h Centre at Helsinki University

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Source URL: www.cis.hut.fi

Language: English - Date: 2010-01-04 03:39:05
832Learning / Artificial neuron / Artificial neural network / Perceptron / Generalization error / Statistical classification / Supervised learning / Multilayer perceptron / Activation function / Neural networks / Cybernetics / Artificial intelligence

Artificial Neural Networks Examination, March 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: 2005-03-21 10:47:39
833Cybernetics / Early stopping / Backpropagation / Feature selection / Artificial neural network / Algorithm / Artificial neuron / Feature / Overfitting / Neural networks / Statistics / Machine learning

C2FS: An Algorithm for Feature Selection in Cascade Neural Networks Lars Backstrom Rich Caruana Computer Science

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Source URL: www.cs.cornell.edu

Language: English - Date: 2006-09-13 16:02:40
834Neuroscience / Perceptron / Artificial neural network / Multilayer perceptron / Backpropagation / Pattern recognition / Statistical classification / Winner-take-all / Activation function / Neural networks / Cybernetics / Science

Artificial Neural Networks Examination, March 2003 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
835Machine learning / Computational neuroscience / Computational statistics / Cryosphere / Artificial neural network / Statistical classification / Regression analysis / Snow / Perceptron / Statistics / Neural networks / Econometrics

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Source URL: www.the-cryosphere.net

Language: English - Date: 2014-12-04 08:12:30
836Artificial 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
837Perceptron / Multilayer perceptron / Maximum likelihood / Artificial neuron / Random forest / Activation function / Decision tree learning / Backpropagation / Artificial neural network / Neural networks / Machine learning / Statistics

Neural Decision Forests for Semantic Image Labelling Samuel Rota Bul`o Fondazione Bruno Kessler Trento, Italy Peter Kontschieder

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Source URL: www.dsi.unive.it

Language: English - Date: 2014-04-15 04:23:50
838Mind / Nervous system / Cybernetics / Computational statistics / Artificial neural network / Biological neural network / Neuron / Hebbian theory / Artificial neuron / Neural networks / Computational neuroscience / Neuroscience

Microprocessing and Microprogramming254 North-Holland 251 N E m h % L N E T W O R K S D E F I N I T I O N ~%LGORZTHM

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Source URL: geb.uma.es

Language: English - Date: 2012-09-06 08:14:52
839Neuroscience / 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
840Science / Neural networks / Neuroscience / Nervous system / Receptive field / Sensory system / Artificial neural network / Neuron / Retina / Computational neuroscience / Mind / Biology

A CONNECTIONIST MODEL FOR LOCAL SPEED ESTIMATION Francisco J . Vieo*,F. J. Garrido?, F. Sandovap and N. Leibovics Qpto. Tecnologia Electrhica, Universidad de Mhlaga Plaza El Ejido s/n, MAlaga ESpain fjvico@ctima.

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Source URL: geb.uma.es

Language: English - Date: 2012-09-06 08:14:50
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