A neural network architecture that computes its own reliability
- 30 September 1992
- journal article
- Published by Elsevier in Computers & Chemical Engineering
- Vol. 16 (9) , 819-835
- https://doi.org/10.1016/0098-1354(92)80035-8
Abstract
No abstract availableKeywords
This publication has 21 references indexed in Scilit:
- Universal Approximation Using Radial-Basis-Function NetworksNeural Computation, 1991
- Radial basis function networks for classifying process faultsIEEE Control Systems, 1991
- Diagnosis using backpropagation neural networks—analysis and criticismComputers & Chemical Engineering, 1990
- Modeling chemical process systems via neural computationIEEE Control Systems Magazine, 1990
- Identification and control of dynamical systems using neural networksIEEE Transactions on Neural Networks, 1990
- Approximation by superpositions of a sigmoidal functionMathematics of Control, Signals, and Systems, 1989
- Fast Learning in Networks of Locally-Tuned Processing UnitsNeural Computation, 1989
- Artificial neural network models of knowledge representation in chemical engineeringComputers & Chemical Engineering, 1988
- Internal Model Control: extension to nonlinear systemIndustrial & Engineering Chemistry Process Design and Development, 1986
- An Algorithm for Convex PolytopesJournal of the ACM, 1970