Activation function

Results: 109



#Item
31Neurophysiology / Sleep / Non-rapid eye movement sleep / Rapid eye movement sleep / Dream / Slow-wave sleep / Narcolepsy / Cognitive neuroscience of dreams / Activation-synthesis hypothesis / Mind / Dreaming / Biology

Commentary/Special issue: Sleep and dreams the (equally unknown) function of REM sleepshould be uncoupled from one another” (sect. 9, para. 4). In both the Introduction and in section 4 solms states that “not

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Source URL: www.dreamscience.ca

Language: English - Date: 2011-04-29 17:25:35
32Science / Feedforward neural network / Artificial neural network / Backpropagation / Perceptron / Recurrent neural network / Activation function / Global Positioning System / Encog / Neural networks / Machine learning / Cybernetics

PDF Document

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Source URL: 41.67.53.40

Language: English
33Fuse / Function / Technology / Electrical engineering / Mathematics / Fire alarm control panel / Manual fire alarm activation

PDF Document

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Source URL: alarms.businesscatalyst.com

Language: English
34Science / Cybernetics / Applied mathematics / Interpolation / Networks / Artificial neural network / Radial basis function / Chaos theory / Activation function / Neural networks / Computational neuroscience / Computational statistics

Microsoft Word - IBSAI NNets, Gene, NLP.doc

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Source URL: www.foibg.com

Language: English - Date: 2015-02-02 08:45:44
35Allied health professions / Healthcare / Rehabilitation medicine / Therapy / Nursing home / Physical therapy / Nursing in the United Kingdom / Nursing / Recreational therapy / Medicine / Health / Health sciences

Activation Aid - Casual Function: The Activation Aide is responsible for assisting with the planning‚ implementing and documentation of therapeutic activity programs on a daily basis to meet the individual Resident’s

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Source URL: 50.118.41.49

Language: English - Date: 2013-10-07 12:37:00
36Science / 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
37Science / 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
38Statistics / Perceptron / Artificial neural network / Multilayer perceptron / Activation function / Backpropagation / ADALINE / Supervised learning / Competitive learning / Neural networks / Machine learning / Cybernetics

Artificial Neural Networks Examination, March 2002 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
39Learning / 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
40Neuroscience / 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
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