On the approximate realization of continuous mappings by neural networks

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• Approximation by superpositions of a sigmoidal function→On the approximate realization of continuous mappings by neural networksLegacy edge — source detail unavailable
• Approximation capabilities of multilayer feedforward networks→On the approximate realization of continuous mappings by neural networksLegacy 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
• Orthogonal least squares learning algorithm for radial basis function networks→On the approximate realization of continuous mappings by neural networksLegacy edge — source detail unavailable
• Universal Approximation using Incremental Constructive Feedforward Networks with Random H…→On the approximate realization of continuous mappings by neural networksLegacy edge — source detail unavailable
• Using mutual information for selecting features in supervised neural net learning→On the approximate realization of continuous mappings by neural networksLegacy edge — source detail unavailable
• Universal approximation of an unknown mapping and its derivatives using multilayer feedfo…→On the approximate realization of continuous mappings by neural networksLegacy edge — source detail unavailable
• Extreme learning machines: a survey→On the approximate realization of continuous mappings by neural networksLegacy 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
• Approximation theory of the MLP model in neural networks→On the approximate realization of continuous mappings by neural networksLegacy edge — source detail unavailable
• On the approximate realization of continuous mappings by neural networks→Learning Internal Representations by Error PropagationLegacy 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
• On the approximate realization of continuous mappings by neural networks→Parallel Networks that Learn to Pronounce English TextLegacy edge — source detail unavailable
• Neural networks for control systems—A survey→An introduction to computing with neural netsLegacy 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→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
• Approximation capabilities of multilayer feedforward networks→Universal approximation of an unknown mapping and its derivatives using multilayer feedfo…Legacy edge — source detail unavailable
• Approximation capabilities of multilayer feedforward networks→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable
• Extreme learning machines: a survey→Approximation capabilities of multilayer feedforward networksLegacy edge — source detail unavailable
• Extreme learning machines: a survey→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable
• Extreme learning machines: a survey→Universal Approximation using Incremental Constructive Feedforward Networks with Random H…Legacy edge — source detail unavailable
• Neural Networks and the Bias/Variance Dilemma→An introduction to computing with neural netsLegacy 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→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
• Approximation by superpositions of a sigmoidal function→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Universal Approximation using Incremental Constructive Feedforward Networks with Random H…→Approximation capabilities of multilayer feedforward networksLegacy edge — source detail unavailable
• Universal Approximation using Incremental Constructive Feedforward Networks with Random H…→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable
• Using mutual information for selecting features in supervised neural net learning→Learning Internal Representations by Error PropagationLegacy edge — source detail unavailable
• Orthogonal least squares learning algorithm for radial basis function networks→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable
• Approximation theory of the MLP model in neural networks→Approximation capabilities of multilayer feedforward networksLegacy edge — source detail unavailable
• Approximation theory of the MLP model in neural networks→Universal approximation of an unknown mapping and its derivatives using multilayer feedfo…Legacy edge — source detail unavailable
• Approximation theory of the MLP model in neural networks→An introduction to computing with neural netsLegacy edge — source detail unavailable
• Approximation theory of the MLP model in neural networks→Approximation by superpositions of a sigmoidal functionLegacy edge — source detail unavailable