Searching for "Functionality in Neural Nets." – sorted by Relevance.
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Adaptive Activation Function Neural Net for Face Recognition
- …Adaptive Activation Function Neural Net for Face Recognition Ashit Talukder Jet Propulsion…
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Fractal Radial Basis Function Neural Net For Modelling
- …A FRACTAL RADIAL BASIS FUNCTION NEURAL NET FOR MODELLING Roderick Murray-Smith Daimler…
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Evolving an Optimal De/Convolution Function for the Neural Net Modules of ATR's Artificial Brain
- …4 Evolving an Optimal De/Convolution Function for the Neural Net Modules of ATR's Artificial Brain…
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Agnostic PAC-Learning of Functions on Analog Neural Nets
- …94--020 Agnostic PAC-Learning of Functions on Analog Neural Nets Wolfgang Maass Received December 19…
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Perspectives of Current Research about the Complexity of Learning on Neural Nets
- …-learning of functions on neural nets. All relevant definitions are given in this paper, and no previous knowledge about…
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Optimal Modular Feedfoward Neural Nets based on Functional Network Architectures
- …Optimal Modular Feedforward Neural Nets based on Functional Network Architectures A.S. Cofiño…
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Binary Spatter-Coding of Ordered K-Tuples
- … these functions with neural nets requires that the structures be represented in a form suitable for neural nets…
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StatPatternRecognition: A C++ Package for Multivariate Classification of
- … function neural net implemented in the Stuttgart Neural Network Simulator. Supplemental tools…
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On the complexity of learning on feedforward neural nets
- … for the Vapnik-Chervonenkis dimension of neural nets -- Agnostic PAC-learning of functions on neural nets. All…
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Bounds for the Computational Power and Learning Complexity of Analog Neural Nets
- … the Boolean function that is computed by the neural net. In order to prove these results, we introduce two new…
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