A Decomposition Approach to Solving Large-scale Fault Diagnosis Problems with Modular Neural Networks
- 1 April 1992
- journal article
- Published by Elsevier in IFAC Proceedings Volumes
- Vol. 25 (4) , 237-242
- https://doi.org/10.1016/s1474-6670(17)50247-5
Abstract
No abstract availableThis publication has 11 references indexed in Scilit:
- Handwritten Digit Recognition Using K Nearest-Neighbor, Radial-Basis Function, and Backpropagation Neural NetworksNeural Computation, 1991
- A neural network approach to statistical pattern classification by 'semiparametric' estimation of probability density functionsIEEE Transactions on Neural Networks, 1991
- Radial basis function networks for classifying process faultsIEEE Control Systems, 1991
- A robust event-oriented methodology for diagnosis of dynamic process systemsComputers & Chemical Engineering, 1990
- Diagnosis using backpropagation neural networks—analysis and criticismComputers & Chemical Engineering, 1990
- Probabilistic neural networksNeural Networks, 1990
- Fast Learning in Networks of Locally-Tuned Processing UnitsNeural Computation, 1989
- Phoneme classification experiments using radial basis functionsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1989
- Artificial neural network models of knowledge representation in chemical engineeringComputers & Chemical Engineering, 1988
- On Estimation of a Probability Density Function and ModeThe Annals of Mathematical Statistics, 1962