An introduction to computing with neural nets

Citation edge evidence

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• Approximation by superpositions of a sigmoidal function→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Artificial neural networks: a tutorial→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Neural network ensembles→An introduction to computing with neural netsLegacy edge — source detail unavailable
• On the approximate realization of continuous mappings by neural networks→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Fast Learning in Networks of Locally-Tuned Processing Units→An introduction to computing with neural netsLegacy edge — source detail unavailable
• A survey of decision tree classifier methodology→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Neural Networks and the Bias/Variance Dilemma→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Phoneme recognition using time-delay neural networks→An introduction to computing with neural netsLegacy edge — source detail unavailable
• An introduction to multisensor data fusion→An introduction to computing with neural netsLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Neural networks for control systems—A survey→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Neural Network Toolbox™ User's Guide→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Approximation theory of the MLP model in neural networks→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Optimal unsupervised learning in a single-layer linear feedforward neural network→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Neural networks and principal component analysis: Learning from examples without local mi…→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Auto-association by multilayer perceptrons and singular value decomposition→An introduction to computing with neural netsLegacy edge — source detail unavailable
• An introduction to computing with neural nets→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• An introduction to computing with neural nets→Clustering AlgorithmsLegacy edge — source detail unavailable
• An introduction to computing with neural nets→Self-Organization and Associative MemoryLegacy edge — source detail unavailable
• An introduction to computing with neural nets→Analog VLSI and Neural SystemsLegacy edge — source detail unavailable
• An introduction to computing with neural nets→Clustering Algorithms.Legacy edge — source detail unavailable
• An introduction to computing with neural nets→Absolute stability of global pattern formation and parallel memory storage by competitive…Legacy edge — source detail unavailable
• An introduction to computing with neural nets→Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a l…Legacy edge — source detail unavailable
• An introduction to computing with neural nets→Computing with Neural Circuits: A ModelLegacy edge — source detail unavailable
• Neural networks for control systems—A survey→On the approximate realization of continuous mappings by neural networksLegacy edge — source detail unavailable
• Neural networks for control systems—A survey→Absolute stability of global pattern formation and parallel memory storage by competitive…Legacy edge — source detail unavailable
• Neural networks for control systems—A survey→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable
• Neural networks for control systems—A survey→30 years of adaptive neural networks: perceptron, Madaline, and backpropagationLegacy edge — source detail unavailable
• Neural networks for control systems—A survey→Fast Learning in Networks of Locally-Tuned Processing UnitsLegacy edge — source detail unavailable
• Artificial neural networks: a tutorial→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Computing with Neural Circuits: A Model→Simple 'neural' optimization networks: An A/D converter, signal decision circuit, and a l…Legacy edge — source detail unavailable
• Auto-association by multilayer perceptrons and singular value decomposition→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→Artificial neural networks: a tutorialLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→Computing with Neural Circuits: A ModelLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→30 years of adaptive neural networks: perceptron, Madaline, and backpropagationLegacy edge — source detail unavailable
• Artificial neural networks: fundamentals, computing, design, and application→Self-Organization and Associative MemoryLegacy edge — source detail unavailable
• Neural Networks and the Bias/Variance Dilemma→On the approximate realization of continuous mappings by neural networksLegacy edge — source detail unavailable
• Neural Networks and the Bias/Variance Dilemma→Auto-association by multilayer perceptrons and singular value decompositionLegacy edge — source detail unavailable
• Neural Networks and the Bias/Variance Dilemma→Neural networks and principal component analysis: Learning from examples without local mi…Legacy edge — source detail unavailable
• Neural Networks and the Bias/Variance Dilemma→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable
• Neural Networks and the Bias/Variance Dilemma→Neural network ensemblesLegacy edge — source detail unavailable
• Neural networks and principal component analysis: Learning from examples without local mi…→Auto-association by multilayer perceptrons and singular value decompositionLegacy edge — source detail unavailable
• Approximation by superpositions of a sigmoidal function→On the approximate realization of continuous mappings by neural networksLegacy edge — source detail unavailable
• Approximation by superpositions of a sigmoidal function→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Phoneme recognition using time-delay neural networksLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Self-Organization and Associative MemoryLegacy edge — source detail unavailable
• 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Phoneme recognition using time-delay neural networks→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Optimal unsupervised learning in a single-layer linear feedforward neural network→Auto-association by multilayer perceptrons and singular value decompositionLegacy edge — source detail unavailable
• Optimal unsupervised learning in a single-layer linear feedforward neural network→Neural networks and principal component analysis: Learning from examples without local mi…Legacy edge — source detail unavailable
• Neural network ensembles→Parallel Distributed ProcessingLegacy edge — source detail unavailable
• Neural Network Toolbox™ User's Guide→Phoneme recognition using time-delay neural networksLegacy edge — source detail unavailable
• Approximation theory of the MLP model in neural networks→On the approximate realization of continuous mappings by neural networksLegacy edge — source detail unavailable
• Approximation theory of the MLP model in neural networks→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable