Artificial neural network

Results: 1863



#Item
821Neural networks / Time series analysis / Singular value decomposition / Principal component analysis / Artificial neural network / Time series / Global climate model / Seasonality / Statistics / Computational neuroscience / Multivariate statistics

Nonlinear Principal Component Analysis of Climate Data by Sailes K. Sengupta and James S. Boyle Program for Climate Model Diagnosis and Intercomparison Lawrence Livermore National Laboratory Livermore, CA USA

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Source URL: www-pcmdi.llnl.gov

Language: English - Date: 2004-11-11 17:46:48
822Science / 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
823Ethology / Open problems / Philosophy of artificial intelligence / Computational linguistics / Artificial intelligence / Cybernetics / Intelligence / Question answering / Neural network / Science / Computational neuroscience / Knowledge

Facebook artificial intelligence team serves up 20 tasks

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Source URL: techxplore.com

Language: English - Date: 2015-05-03 10:50:38
824Science / 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
825Data management / Machine learning / Association rule learning / Anomaly detection / Cluster analysis / Algorithm / Artificial neural network / Outlier / Data set / Statistics / Data mining / Data analysis

Detecting Anomalous Longitudinal Associations through Higher Order Mining∗ Liang Ping and John F. Roddick School of Computer Science, Engineering and Mathematics, Flinders University, PO Box 2100, Adelaide,

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Source URL: crpit.com

Language: English - Date: 2012-01-19 01:28:42
826Artificial intelligence / JavaBeans / Computing platforms / Cross-platform software / Intelligent agent / Artificial neural network / Neural network / Component-based software engineering / Java / Computing / Java platform / Computational neuroscience

Agent Building and Learning Environment Outline

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Source URL: aass.oru.se

Language: English - Date: 2005-06-02 10:24:12
827Statistics / 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
828Statistics / K-nearest neighbor algorithm / Radial basis function network / Learning / Machine learning / Neural networks / Artificial intelligence / Computational statistics

Instance Based Learning Read Ch. 8]  -Nearest Neighbor  Locally weighted regression  Radial basis functions  Case-based reasoning

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Source URL: aass.oru.se

Language: English - Date: 2005-03-31 12:57:43
829Statistics / Perceptron / Artificial neural network / Multilayer perceptron / Generalization error / Backpropagation / Supervised learning / Statistical classification / Pattern recognition / Neural networks / Machine learning / Cybernetics

Artificial Neural Networks Examination, June/August 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 to

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Source URL: aass.oru.se

Language: English - Date: 2004-06-07 09:38:12
830Artificial 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
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