Presentation 1993/9/22
Neural network expression of Hardy-Cross method for pipe network analyisis
Jun Takeuchi, Mikiya Sase, Yukio Kosugi, Shogo Morita,
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Abstract(in English) Neural network expression of Hardy-Cross method for pipe network, based on node formulation analysis,is considered.The network consists of node-units and pipe-subnets,and an error reducing algorithm is performed by local information transfer among them.By introducing regional representative units,which have the connections to a part of node-units and govem the flow balance of each region,the rate of the convergence is found to be improved.We modified the Hardy-Cross method to handle over-defined conditioned problems,and showed that the algorithm is also applicable to parameter calibration of the system.
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Keyword(in English) neural networks / pipe network analysis / Hardy-Cross method / Newton method
Paper # NC93-32
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Committee NC
Conference Date 1993/9/22(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Neural network expression of Hardy-Cross method for pipe network analyisis
Sub Title (in English)
Keyword(1) neural networks
Keyword(2) pipe network analysis
Keyword(3) Hardy-Cross method
Keyword(4) Newton method
1st Author's Name Jun Takeuchi
1st Author's Affiliation Tokyo Institute of Technology()
2nd Author's Name Mikiya Sase
2nd Author's Affiliation Tokyo Institute of Technology
3rd Author's Name Yukio Kosugi
3rd Author's Affiliation Tokyo Institute of Technology
4th Author's Name Shogo Morita
4th Author's Affiliation Tokyo Gas
Date 1993/9/22
Paper # NC93-32
Volume (vol) vol.93
Number (no) 247
Page pp.pp.-
#Pages 8
Date of Issue