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Artificial neural network
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#	Item
911	On derivation of MLP backpropagation from the Kelley-Bryson optimal-control gradient formula and its application Eiji Mizutani) Add to Reading List Source URL: www.ieor.berkeley.edu Language: English - Date: 2008-07-16 21:59:55 Applied mathematics Multilayer perceptron Artificial neural network Dynamic programming A* search algorithm Neural networks Mathematics Cybernetics
912	Keynote talk presented at the International Symposium on Artificial Neural Networks, Hsinchu, Taiwan, DecemberEconomic Forecasting: Challenges and Neural Network Solutions John Moody Computer Science Dept., Orego Add to Reading List Source URL: www.smartquant.com Language: English - Date: 2014-02-08 06:27:50 Neural networks Computational statistics Machine learning Forecasting Artificial neural network Macroeconomic model Regression analysis Economic model Regularization Statistics Econometrics Computational neuroscience
913	Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks Dong-Hyun Lee Nangman Computing, 117D Garden five Tools, Munjeong-dong Songpa-gu, Seoul, Korea Add to Reading List Source URL: deeplearning.net Language: English - Date: 2013-06-13 14:08:35 Learning Semi-supervised learning Supervised learning Unsupervised learning Neural network Support vector machine Pattern recognition Machine learning Statistics Artificial intelligence
914	Hydrology and Earth System Sciences, 9(4), 313321Simulationof©flood EGU flow in a river system using ar tificial neural networks Simulation of flood flow in a river system using artificial neural Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 01:58:47 Learning Artificial neural network Activation function Multilayer perceptron Backpropagation Perceptron Early stopping Overfitting Training set Neural networks Statistics Cybernetics
915	Hydrol. Earth Syst. Sci., 14, 603–612, 2010 www.hydrol-earth-syst-sci.net/ © Author(sThis work is distributed under the Creative Commons Attribution 3.0 License. Hydrology and Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 02:36:42 Computational neuroscience Prediction Science Computational statistics Weather prediction Ensemble forecasting Forecasting Artificial neural network Probabilistic forecasting Statistics Statistical forecasting Neural networks
916	egu_logo_without_circle_grey Add to Reading List Source URL: www.hydrol-earth-syst-sci.net Language: English - Date: 2014-12-04 03:39:58 Mathematical optimization Operations research Economic model Artificial neural network Hydrological modelling Robust optimization Statistics Cybernetics Science Hydrology Computational statistics Neural networks
917	A Hybrid Financial Trading System Incorporating Chaos Theory, Statistical and Artificial Intelligence/Soft Computing Methods∗ Dr Clarence N W Tan, Ph.D. Add to Reading List Source URL: www.smartquant.com Language: English - Date: 2014-02-08 06:27:46 Stock market Financial economics Computational statistics Economics Artificial neural network Forecasting Stock market prediction Technical analysis Applications of artificial intelligence Statistics Computational neuroscience Neural networks
918	NEURAL NETWORKS IN ECONOMICS Background, Applications and New Developments RALF HERBRICH MAX KEILBACH THORE GRAEPEL PETER BOLLMANN-SDORRA Add to Reading List Source URL: www.smartquant.com Language: English - Date: 2014-02-08 06:27:51 Statistics Perceptron Statistical classification Backpropagation Artificial neuron Radial basis function network Recurrent neural network Multilayer perceptron Activation function Neural networks Machine learning Cybernetics
919	Dynamic Neural Fields International Lecture Serie Nicolas P. Rougier (ニコラルジエ ) INRIA National Institute for Research Add to Reading List Source URL: www.nii.ac.jp Language: English - Date: 2012-04-19 06:56:36 Biology Neural networks Cognitive science Connectionism Learning Philosophy of artificial intelligence Hodgkin–Huxley model Brain Nervous system network models Computational neuroscience Science Neuroscience
920	Learning a Parametric Embedding by Preserving Local Structure Laurens van der Maaten TiCC, Tilburg University P.O. Box 90153, 5000 LE Tilburg, The Netherlands Add to Reading List Source URL: lvdmaaten.github.io Language: English - Date: 2015-04-12 20:13:26 Machine learning Computational neuroscience Dimension reduction Nonlinear dimensionality reduction Artificial neural network Non-parametric statistics Autoencoder Supervised learning Backpropagation Statistics Neural networks Multivariate statistics