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Paul Werbos
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#	Item
1	Backpropagation Through Time: What It Does and How to Do It PAUL J. WERBOS Backpropagation is now the most widely used tool in the field of artificial neural networks. At the core of backpropagation is a Add to Reading List Source URL: www.cs.cmu.edu - Date: 2013-09-09 12:05:45
2	Backwards Differentiation in AD and Neural Nets: Past Links and New Opportunities Paul J. Werbos1 Abstract Backwards calculation of derivatives – sometimes called the reverse mode, the full adjoint method, or backpropa Add to Reading List Source URL: www.werbos.com Language: English - Date: 2006-02-27 18:10:48 Mathematics Neuroscience Backpropagation Artificial neural network Automatic differentiation Multilayer perceptron Perceptron Derivative Feedforward neural network Neural networks Computational neuroscience Cybernetics
3	Bibliography [1] George Adelman, editor. Encyclopedia of Neuroscience, volume I. Birkh¨auser, [removed]J.S. Albus. Data storage in the cerebellar model articulation controller (CMAC). Transactions of the ASME: Journal Add to Reading List Source URL: www.q12.org Language: English - Date: 2002-03-13 22:46:14 Cybernetics Neuroscience Network architecture Networks Artificial neural network Paul Werbos Connectionism Cerebellar Model Articulation Controller Random neural network Computational neuroscience Neural networks Science
4	Bibliography [1] George Adelman, editor. Encyclopedia of Neuroscience, volume I. Birkh¨auser, [removed]J.S. Albus. Data storage in the cerebellar model articulation controller (CMAC). Transactions of the ASME: Journal Add to Reading List Source URL: q12.org Language: English - Date: 2002-03-13 22:46:14 Cybernetics Neuroscience Network architecture Networks Artificial neural network Paul Werbos Connectionism Cerebellar Model Articulation Controller Random neural network Computational neuroscience Neural networks Science
5	Backpropagation Through Time: What It Does and How to Do It PAUL J. WERBOS Backpropagation is now the most widely used tool in the field of artificial neural networks. At the core of backpropagation is a Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-09 12:05:45 Mathematics Machine learning Backpropagation Artificial neural network Derivative Artificial neuron Kalman filter Euler–Lagrange equation Differential equation Neural networks Cybernetics Computational neuroscience
6	Neural Networks As a Path to Self-Awareness Paul Werbos1 Abstract—There has been important new crossdisciplinary Add to Reading List Source URL: werbos.com Language: English - Date: 2011-06-15 16:48:34 Computational neuroscience Mind Backpropagation Connectionism Biological neural network Paul Werbos Cognitive science Strong AI Mirror neuron Neural networks Neuroscience Science