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Artificial neural network
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951	MANAGING COMPLEXITY AND CHANGE! INCOSE[removed]14th Annual International Symposium Proceedings Predicting the Reliability of a Complex System Using an Artificial Neural Network Alan L. Breitler, Ph.D. Add to Reading List Source URL: www.eagleridgetech.com Language: English - Date: 2005-06-05 16:02:20 Science Systems science Statistics Failure Materials science Reliability engineering Artificial neural network Neural network Systems engineering Computational neuroscience Survival analysis
952 $\ Determination of Shape Distribution of Metallic Nanostructures from the Absorption Spectra using Neural Networks 1$	\ Determination of Shape Distribution of Metallic Nanostructures from the Absorption Spectra using Neural Networks 1 Add to Reading List Source URL: neuroph.sourceforge.net Language: English - Date: 2010-11-03 14:19:26 Cybernetics Multilayer perceptron Backpropagation Perceptron Neuroph Spectrum Absorption spectroscopy Artificial neural network Neural networks Machine learning Science
953	INTRODUCTION TO MACHINE LEARNING AN EARLY DRAFT OF A PROPOSED TEXTBOOK Add to Reading List Source URL: robotics.stanford.edu Language: English - Date: 2010-06-21 13:24:18 Neural networks Networks Computational neuroscience Computational learning theory Supervised learning Reinforcement learning Backpropagation Bayesian network Learning Machine learning Statistics Artificial intelligence
954	Ch.6 Feed-forward neural network models [Book, Chap.4] The human brain is a massive network of about 1011 interconnecting neural cells called neurons, performing highly parallel computing[removed] Add to Reading List Source URL: www.ocgy.ubc.ca Language: English - Date: 2014-01-14 19:01:43 Neuroscience Artificial neuron Artificial neural network Activation function Perceptron Neuron Logistic function Feedforward neural network Types of artificial neural networks Neural networks Cybernetics Science
955	Molecular Data Mining Tool: Advances In HIV Research he ability to predict biological activity based on molecular structure is leading researchers to breakthroughs in the most complex challenges of medicine. Using a Add to Reading List Source URL: media.salford-systems.com Language: English - Date: 2013-07-26 03:42:00 Econometrics Science Computational statistics Neural networks Artificial neural network Decision tree learning Multivariate adaptive regression splines Data mining Regression analysis Statistics Computational neuroscience Machine learning
956	Chapter 3 The CMAC neural network 3.1 Add to Reading List Source URL: q12.org Language: English - Date: 2002-03-13 22:49:44 Networks Cybernetics Neuroscience Science Artificial intelligence Cerebellar Model Articulation Controller CMAC Perceptron Hash function Neural networks Computational neuroscience Network architecture
957	CHAPTER 6 Web Mining: Machine learning for Web Applications Hsinchun Chen and Michael Chau Add to Reading List Source URL: www.business.hku.hk Language: English - Date: 2006-01-18 11:46:24 Statistics Data mining Machine learning Data analysis Formal sciences Text mining Information retrieval Artificial neural network Web mining Science Natural language processing Artificial intelligence
958	A.I in Automotive? Why and When. AGENDA 01 Add to Reading List Source URL: events.linuxfoundation.org Language: English - Date: 2014-07-11 09:11:27 Cybernetics Artificial intelligence Neural networks Emerging technologies Artificial neural network Machine learning Intelligence Artificial intelligence systems integration Outline of artificial intelligence Computational neuroscience Science Knowledge
959	QoE Estimation Models for Tele-immersive Applications Narasimha Raghavan Veeraragavan∗ , Hein Meling† , and Roman Vitenberg∗ ∗ Department † Department Add to Reading List Source URL: www.ux.uis.no Language: English - Date: 2014-11-29 05:01:28 Videotelephony Marketing Quality of experience Codecs Digital television Computing Artificial neural network Voice over IP Video quality Electronics Computational neuroscience Electronic engineering
960	Molecular Simulation, Vol[removed]), 15 January 2004, pp. 9–15 A Combined First-principles Calculation and Neural Networks Correction Approach for Evaluating Gibbs Energy of Formation XIUJUNG WANG, LIHONG HU, LAIHO WONG Add to Reading List Source URL: yangtze.hku.hk Language: English - Date: 2010-12-19 08:35:05 Science Neural networks Theoretical chemistry Density functional theory Hybrid functional Artificial neural network Computational chemistry Gibbs free energy Chemistry Computational neuroscience Physics