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Artificial neural networks
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641	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 Add to Reading List Source URL: www-pcmdi.llnl.gov Language: English - Date: 2004-11-11 17:46:48 Neural networks Time series analysis Singular value decomposition Principal component analysis Artificial neural network Time series Global climate model Seasonality Statistics Computational neuroscience Multivariate statistics
642	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 Add to Reading List Source URL: aass.oru.se Language: English - Date: 2004-06-07 09:38:12 Science Feedforward neural network Perceptron Artificial neural network Generalization error Backpropagation Hopfield network Supervised learning Pattern recognition Neural networks Machine learning Cybernetics
643	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. Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-02-08 05:38:24 Science Perceptron ADALINE Artificial neural network Hebbian theory Activation function Feedforward neural network Types of artificial neural networks Neural networks Machine learning Cybernetics
644	Hanna Wallach http://dirichlet.net Microsoft Research 641 Avenue of the Americas, 7th Floor New York, NY 10011 Add to Reading List Source URL: dirichlet.net Language: English - Date: 2015-05-06 17:28:51 Association of Public and Land-Grant Universities New England Association of Schools and Colleges Statistical natural language processing Neural networks Topic model University of Massachusetts Amherst Andrew McCallum University of Massachusetts Conference on Neural Information Processing Systems Artificial intelligence Machine learning Science
645	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 Add to Reading List Source URL: aass.oru.se Language: English - Date: 2004-06-07 09:38:12 Statistics Perceptron Artificial neural network Multilayer perceptron Activation function Backpropagation ADALINE Supervised learning Competitive learning Neural networks Machine learning Cybernetics
646	Instance Based Learning Read Ch. 8] -Nearest Neighbor Locally weighted regression Radial basis functions Case-based reasoning Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-03-31 12:57:43 Statistics K-nearest neighbor algorithm Radial basis function network Learning Machine learning Neural networks Artificial intelligence Computational statistics
647	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 Add to Reading List Source URL: aass.oru.se Language: English - Date: 2004-06-07 09:38:12 Statistics Perceptron Artificial neural network Multilayer perceptron Generalization error Backpropagation Supervised learning Statistical classification Pattern recognition Neural networks Machine learning Cybernetics
648	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). Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-06-05 12:55:59 Artificial intelligence Perceptron Artificial neural network Feedforward neural network Multilayer perceptron Backpropagation Generalization error Statistical classification ADALINE Neural networks Cybernetics Science
649	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 Add to Reading List Source URL: www.cis.hut.fi Language: English - Date: 2010-01-04 03:39:05 Statistics 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
650	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). Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-03-21 10:47:39 Learning Artificial neuron Artificial neural network Perceptron Generalization error Statistical classification Supervised learning Multilayer perceptron Activation function Neural networks Cybernetics Artificial intelligence

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