Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks
Kurt Hornik, Maxwell B. Stinchcombe, Halbert White
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- Ensemble Methods in Machine Learning→Universal approximation of an unknown mapping and its derivatives using multilayer feedfo…Legacy 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
- Graph embedding techniques, applications, and performance: A survey→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→Universal approximation of an unknown mapping and its derivatives using multilayer feedfo…Legacy edge — source detail unavailable
- Adaptive Computation and Machine Learning→Universal approximation of an unknown mapping and its derivatives using multilayer feedfo…Legacy edge — source detail unavailable
- Universal approximation of an unknown mapping and its derivatives using multilayer feedfo…→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
- Universal approximation of an unknown mapping and its derivatives using multilayer feedfo…→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
- Universal approximation of an unknown mapping and its derivatives using multilayer feedfo…→Probability and Measure.Legacy 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
- Universal approximation of an unknown mapping and its derivatives using multilayer feedfo…→Theory of the backpropagation neural networkLegacy edge — source detail unavailable
- Universal approximation of an unknown mapping and its derivatives using multilayer feedfo…→Proceedings of the International Joint Conference on Neural Networks, 2003.Legacy edge — source detail unavailable
- Approximation capabilities of multilayer feedforward networks→On the approximate realization of continuous mappings by neural networksLegacy edge — source detail unavailable
- Approximation capabilities of multilayer feedforward networks→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
- Approximation capabilities of multilayer feedforward networks→Proceedings of the International Joint Conference on Neural Networks, 2003.Legacy edge — source detail unavailable
- Approximation capabilities of multilayer feedforward networks→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
- Theory of the backpropagation neural network→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
- Multilayer feedforward networks are universal approximators→Probability and Measure.Legacy edge — source detail unavailable
- Multilayer feedforward networks are universal approximators→Multilayer feedforward networks are universal approximatorsLegacy 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 capabilities of multilayer feedforward networksLegacy edge — source detail unavailable
- Approximation theory of the MLP model in neural networks→Theory of the backpropagation neural networkLegacy edge — source detail unavailable
- Approximation theory of the MLP model in neural networks→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
- Approximation theory of the MLP model in neural networks→Multilayer feedforward networks are universal approximatorsLegacy edge — source detail unavailable
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| Neural Networks and Applications | Computer Science |
| Machine Learning and ELM | Computer Science |
| VLSI and FPGA Design Techniques | Engineering |
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