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C. Yang ; S. Prasher ; R. Lacroix ; Sixth International Conference on Computers in Agriculture (1996) | 1996This project reports on the use of artificial neural networks (ANNs) to model the performance of a subsurface drainage system in Nova Scotia, Atlantic Canada. The ANN model was built and trained by using the observed data on midspan watertable d[...]
article/chapitre/communication
S. Sreekanth ; H. Ramaswamy ; S. Sablani ; S. Prasher | 1999An artificial neural network (ANN) approach for tackling the inverse heat conduction problems was explored - specifically for the determination of surface heat transfer coefficient at the liquid-solid interface using the temperature profile info[...]
article/chapitre/communication
S. Sablani ; H. Ramaswamy ; S. Prasher | 1995The use of a neural network approach in thermal processing applications is presented. A four layer neural network with 3 inputs and 3 outpouts was trained using a back-propagation algorithm. A finite difference computer program was used to predi[...]
article/chapitre/communication
R. Patel ; S. Prasher ; D. Donnelly ; AL Et | 1999Brackish water is the principal source of irrigation water in many arid regions. Surface irrigation with brackish waters is limited to salt tolerant crops or is used alternately with scarce freshwater resources. However, subirrigation may help o[...]
article/chapitre/communication
C. Yang ; R. Lacroix ; S. Prasher ; Sixth International Conference on Computers in Agriculture (1996) | 1996The research goal was to investigate the application of artificial neural networks (ANNs) for subsurface drainage system simulation. Specifically, back-propagation ANNs were trained to imitate a conventional mathematical model, DRAINMOD, in the [...]
