| Presentation | 1993/12/14 Identification of Water Demand Prediction Model using a Neural Network and a GMDH Susumu Saitoh, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Neural networks with backpropagaton algorithm have been used to predict daily water demand.To train the network the time series data of weathers and temperatures are used.The network trained with 10 weeks sets of data showed oveffdtng characteristi to the training data.On the other hand the one trained with 20 weeks sets of data showed reasonable accuracy through both the training data and the testing data.A GMDH model trained with the same data is compared wath the neural network model. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | water demand prediction / modeling / non-linear system / GMDH / neural network |
| Paper # | NC93-63 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 1993/12/14(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Identification of Water Demand Prediction Model using a Neural Network and a GMDH |
| Sub Title (in English) | |
| Keyword(1) | water demand prediction |
| Keyword(2) | modeling |
| Keyword(3) | non-linear system |
| Keyword(4) | GMDH |
| Keyword(5) | neural network |
| 1st Author's Name | Susumu Saitoh |
| 1st Author's Affiliation | Faculty of Administration and Informatics,Tokoha-gakuen Hamamatsu University() |
| Date | 1993/12/14 |
| Paper # | NC93-63 |
| Volume (vol) | vol.93 |
| Number (no) | 376 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |