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231	Two_Spring_Mass_Anisoelasticity.Adobe Illustrator(R) 9.0 Add to Reading List Source URL: mems.eng.uci.edu Language: English - Date: 2013-09-20 22:06:45 Mathematics Dynamics Gyroscopes Precession Orientation Rotation Rate integrating gyroscope Feedforward control Rigid body dynamics Physics Geometry Rotational symmetry
232	The European Journal of Mineral Processing and Environmental Protection Vol.3, No.1, [removed], 2003, pp[removed]Prediction of two-metal biosorption equilibria using a neural network K.H. Chu* Add to Reading List Source URL: www.ejmpep.com Language: English - Date: 2011-11-19 18:49:46 Statistics Neuroscience Artificial neural network Feedforward neural network Backpropagation Neural networks Computational neuroscience Cybernetics
233	Neural Networks, Vol. 2, pp[removed], 1989 Printed in the USA. All rights reserved[removed] $3.00 + .(10 Copyright ¢c 1989 Pergamon Press plc Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-08-28 13:18:46 Mathematics Generalized Hebbian Algorithm Principal component analysis Backpropagation Eigenvalues and eigenvectors Artificial neuron Feedforward neural network Supervised learning Hebbian theory Neural networks Statistics Algebra
234	On the Problem of Local Minima in Back-propagation M. Gori and A. Tesi Presented by Jonathon Smereka Motivation Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-07 13:24:31 Mathematics Perceptron Rank Backpropagation Matrix Feedforward neural network Multilayer perceptron Neural networks Cybernetics Science
235	PDF Document Add to Reading List Source URL: www.signalsystemscorp.com Language: English - Date: 2010-10-05 17:44:27 Feedforward control Technology Signal processing Active noise control Sound Noise control Image noise Noise Control theory Cybernetics
236	“Multilayer feedforward networks are universal approximators” Kur Hornik, Maxwell Stinchcombe and Halber White (1989) Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-09 14:47:01 Universal approximation theorem Stone–Weierstrass theorem Activation function Function Continuous function Feedforward neural network Neural networks Mathematics Mathematical analysis
237	ImageNet Classification with Deep Convolutional Neural Networks Alex Krizhevsky University of Toronto [removed] Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-24 15:05:41 Science Feedforward neural network Autoencoder Backpropagation Supervised learning Neural networks Cybernetics Statistics
238	Deep Learning – Fall 2013 Instructor: Bhiksha Raj Paper: T. D. Sanger, “Optimal Unsupervised Learning in a Single-Layer Linear Feedforward Neural Network”, Neural Networks, vol. 2, pp[removed], 1989. Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-11 13:17:38 Cybernetics Generalized Hebbian Algorithm Principal component analysis Hebbian theory Artificial neuron Eigenvalues and eigenvectors Feedforward neural network Matrix Supervised learning Neural networks Algebra Mathematics
239	Greedy Layer-Wise Training of Deep Networks Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle Universit´e de Montr´eal Montr´eal, Qu´ebec {bengioy,lamblinp,popovicd,larocheh}@iro.umontreal.ca Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-10-16 13:22:11 Artificial intelligence Computational neuroscience Network architecture Recurrent neural network Feedforward neural network Unsupervised learning Autoencoder Supervised learning Boltzmann machine Neural networks Machine learning Cybernetics
240	A Direct Adaptive Method for Faster Backpropagation Learning: The RPROP Algorithm Martin Riedmiller Heinrich Braun Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-09 12:05:45 Applied mathematics Mathematics Backpropagation Perceptron Multilayer perceptron Gradient descent Feedforward neural network Neural networks Cybernetics Rprop

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