| Project/Area Number |
03556032
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| Research Category |
Grant-in-Aid for Developmental Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
農業土木
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| Research Institution | University of Osaka Prefecture |
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Principal Investigator |
KUWABARA Takao Univ.of Osaka Prefecture, Agriculture, Professor, 農学部, 教授 (70081528)
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| Co-Investigator(Kenkyū-buntansha) |
ISHIGURO Satoru Univ.of Osaka Prefecture, Agriculture, Assistant Professor, 農学部, 講師 (30137244)
KOYAMA Shuhei Univ.of Osaka Prefecture, Agriculture, Associate Professor, 農学部, 助教授 (00112540)
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| Project Period (FY) |
1991 – 1993
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| Project Status |
Completed (Fiscal Year 1993)
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| Budget Amount *help |
¥9,500,000 (Direct Cost: ¥9,500,000)
Fiscal Year 1993: ¥800,000 (Direct Cost: ¥800,000)
Fiscal Year 1992: ¥900,000 (Direct Cost: ¥900,000)
Fiscal Year 1991: ¥7,800,000 (Direct Cost: ¥7,800,000)
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| Keywords | Deterioration dam / Repair works / Expert system / Questionnaire survey / Neural networks / Extended Kalman filter / Multimedia / Multi-purpose use FSM / F.S.M. / 誤差逆伝播法 / ISM / 多目的活用 / 溜池 / ニュ-ラルネットワ-ク / エキスパ-トシステム / 貯水池 / 知識工学 / 推論手法 |
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| Research Abstract |
The construction of an expart system by means of neural networks have been studied on repair works and multi-purpose use of deterioration dams.
At first, knowledge of human experts on a small reservoir were collected by questionnaire surveys.
Knowledge in regard to repair works and multi-purpose of small reservoirs were given structure using ISM and FSM method. The connection of its knowledge could be linked as feedforward layred neural networks. The expert system using neural networks were trained by learning data set.
As training time, however, was taken much more in back propaqation (BP), a new training algorithm was developed by extended Kaiman filter (here called KNT). It was shown that the KNT had high performance compared with the BP.Further, the expert systems was integrated with an image processing, a function of statistical analysis and a fundamental data base for small reservoirs of Sakai City in Osaka as an example.
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