Approximating and learning unknown mappings using multilayer feedforward networks with bounded weights
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- Type
- article
- Published
- 1990-06-17
- Cited by
- 131
- References
- 16
- OpenAlex
- https://openalex.org/W2166848538
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:17546225
Keywords
Bounded function, Piecewise, Class (philosophy), Ergodic theory, Polynomial
References
- On the approximate realization of continuous mappings by neural networks
- Construction of neural nets using the radon transform
- Learning in Artificial Neural Networks: A Statistical Perspective
- Universal approximation of an unknown mapping and its derivatives using multilayer feedforward networks
- A new approach for finding the global minimum of error function of neural networks
- Theory of the backpropagation neural network
- Universal approximation using feedforward networks with non-sigmoid hidden layer activation functions
- Principles of mathematical analysis
- Approximation by superpositions of a sigmoidal function
- Connectionist nonparametric regression: Multilayer feedforward networks can learn arbitrary mappings
- Multilayer feedforward networks are universal approximators
- Theory of the Back Propagation Neural Network
- Linear Operators
- Theory of the backpropagation neural network
- Multilayer feedforward networks are universal approximators
- On Almost Sure Convergence
Cited by
- Neural Networks and Analog Computation
- Some Topics in Neural Networks and Control
- Neural network inference measurements applied to the pebble bed modular reactor
- Engineering Applications of Neural Computing: A State-of-the-Art Survey
- Comparison of sigmoidal FFANN training algorithms for function approximation problems
- Optimierung und Analyse von Fachwerkstrukturen durch neuronale Netze
- Foundations of recurrent neural networks
- Mixture of heterogeneous experts applied to time series: a comparative study
- A large scale neural network with nonlinear synapses
- Improvement on function approximation capability of backpropagation neural networks
- EKF learning for feedforward neural networks
- Completeness of fuzzy controller carrying a mapping f:R/sup 1/ to R/sup 1/
- Analysis and implementation of a VLSI neural network
- A Comparison of Feed-Forward Networks and Maximum Likelihood on a Point- Source Location Problem
- Essays on Neural Network Sampling Methods and Instrumental Variables
- A Neural Network Based Model Reference Adaptive Controller
- Using feedforward networks to distinguish multivariate populations
- An investigation of the effect of synapse transfer characteristic on the performance of analogue neural networks
- Feedforward neural networks with constrained weights
- Approximation Capability of Layered Neural Networks with Sigmoid Units on Two Layers
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