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The top documents tagged [input layer]
Neural Networks: An Overview. There are many different kinds of Neural Network they include to name a few: The Back Propagating Networks Kohonen (Self-Organising)
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SPN7, University of Sheffield 29/8/13 PREDICTING CSO CHAMBER DEPTH USING ARTIFICIAL NEURAL NETWORKS WITH RAINFALL RADAR DATA Dr. Steve Mounce Mr. Gavin
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Towards an Implementation of a Theory of Visual Learning in the Brain Shamit Patel CMSC 601 May 2, 2011
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1 The tiling algorithm Learning in feedforward layered networks: the tiling algorithm writed by Marc M é zard and Jean-Pierre Nadal
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Greedy Layer-Wise Training of Deep Networks Yoshua Bengio, Pascal Lamblin, Dan Popovici, Hugo Larochelle NIPS 2007 Presented by Ahmed Hefny
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Erte Pan Wireless Eng. Group Advisor: Dr. Han Department of Electrical and Computer Engineering University of Houston, Houston, TX. Erte Pan Wireless Eng
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Supervised Multiattribute Classification Kurt J. Marfurt (The University of Oklahoma) Kurt J. Marfurt (The University of Oklahoma) 3D Seismic Attributes
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ekek w ik aiai v ij METHOD FOR AUTOMATED CHOICE OF TECHNICAL PRODUCTS The proposed method is based on automatically classification
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Recommending Tags with a Model of Human Categorization
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Neural network
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Machine Learning Techniques for the Smart Grid – Modeling of Solar Energy using AI
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