Artificial neuron

Results: 424



#Item
341Mathematics / Feedforward neural network / Backpropagation / Artificial neuron / Activation function / Universal approximation theorem / Radial basis function / Types of artificial neural networks / Multilayer perceptron / Neural networks / Machine learning / Cybernetics

IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 17, NO. 4, JULY[removed]Universal Approximation Using Incremental Constructive Feedforward Networks

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Source URL: www3.ntu.edu.sg

Language: English - Date: 2006-07-05 10:03:46
342Cybernetics / Science / Mind / Econometrics / Network architecture / Neuron / Nervous system network models / Artificial neural network / Neural networks / Computational neuroscience / Nervous system

Evolution of neural net architectures by a hierarchical grammar-based genetic system Christian Jacob and Jan Rehder Lehrstuhl fur Programmiersprachen Universitat Erlangen-Nurnberg

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Source URL: pages.cpsc.ucalgary.ca

Language: English - Date: 2001-04-08 19:54:40
343Neuroscience / Feedforward neural network / Perceptron / Backpropagation / Multilayer perceptron / Artificial neuron / ADALINE / Madaline / Connectionism / Neural networks / Cybernetics / Science

The No-Prop algorithm: A new learning algorithm for multilayer neural networks

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Source URL: www3.ntu.edu.sg

Language: English - Date: 2013-08-30 01:30:05
344Support vector machine / Feedforward neural network / Artificial neural network / Perceptron / Artificial neuron / Backpropagation / Stability / Neural networks / Machine learning / Statistics

ELM-Randomness-Kernel.DVI

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Source URL: www3.ntu.edu.sg

Language: English - Date: 2014-04-06 19:15:39
345Boolean algebra / Applied mathematics / Theoretical computer science / PROPT / GEC / Artificial neuron / Numerical software / Mathematics

The Complexity of Complex Weighted Boolean #CSP Jin-Yi Cai 1 Computer Sciences Department University of Wisconsin Madison, WI[removed]USA [removed]

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Source URL: pages.cs.wisc.edu

Language: English - Date: 2010-08-13 18:59:49
346Science / Neuroscience / Artificial neuron / Neural networks / Cybernetics / Feedforward neural network

Microsoft Word - SPIE News Article_3502.doc

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Source URL: www3.ntu.edu.sg

Language: English - Date: 2012-06-15 08:05:29
347Science / Feedforward neural network / Backpropagation / Autoencoder / Boltzmann machine / Elm / Artificial neuron / Supervised learning / Neural networks / Machine learning / Cybernetics

TRENDS & CONTROVERSIES Editor: erik cambria, MIT Media Laboratory, [removed] Extreme Learning Machines Erik Cambria, MIT Media Laboratory Guang-Bin Huang, Nanyang Technological University, Singapore

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Source URL: www3.ntu.edu.sg

Language: English - Date: 2014-02-08 17:56:55
348Biology / Science / Nervous system / Computational statistics / Neural decoding / Artificial neural network / Neural coding / Neuron / Particle filter / Computational neuroscience / Neural networks / Neuroscience

Decoding Visual Input based on V1 Neuronal Activities with Particle Filtering 1 Ryan Kelly and Tai Sing Lee Center for the Neural Basis of Cognition & Computer Science Department Carnegie Mellon University, Pittsburgh PA

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Source URL: www.cnbc.cmu.edu

Language: English - Date: 2003-08-05 10:43:56
349Science / Quantitative structure–activity relationship / Artificial neural network / Feedforward neural network / Artificial neuron / Activation function / Perceptron / Backpropagation / Radial basis function network / Neural networks / Machine learning / Cybernetics

i i Meyers: Encyclopedia of Complexity and Systems Science — Entry 181 — [removed] — 15:43 — page 1 — LE-TEX Drug Design with Artificial Neural Networks

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Source URL: www.ivanciuc.org

Language: English - Date: 2009-01-18 01:27:40
350Statistics / Backpropagation / Artificial neuron / Artificial neural network / Perceptron / Multilayer perceptron / Synaptic weight / Types of artificial neural networks / Feedforward neural network / Neural networks / Cybernetics / Science

International Journal of Applied Science and Technology Vol. 3 No. 5; May 2013 The Use of Artificial Neural Networks in Predicting Vertical Displacements of Structures George Pantazis

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Source URL: www.ijastnet.com

Language: English - Date: 2013-08-25 07:26:13
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