A Neural Network Approach on the Optimum Designed
碩士 === 國立屏東科技大學 === 土木工程系所 === 96 === The research is constructed by the storm sewer mode of University of Illinois, using back-propagation neural network to achieve the optimization design. The thesis uses the observation values, from May to October in 2007, gained by the Central Weather Bureau and...
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| Format: | Others |
| Language: | zh-TW |
| Online Access: | http://ndltd.ncl.edu.tw/handle/61532238252419454654 |
| Summary: | 碩士 === 國立屏東科技大學 === 土木工程系所 === 96 === The research is constructed by the storm sewer mode of University
of Illinois, using back-propagation neural network to achieve the
optimization design.
The thesis uses the observation values, from May to October in
2007, gained by the Central Weather Bureau and applies neural network
to estimation models to train them. By tracing their tracks, we can find
out a better outcome. It is always an important task to do the research
for designing the estimated cost before the sewer construction starts,
especially in the system of the pumping stations and network of the
sewers.
The result of the research also shows that applying backpropagation
neural network to the system and simplifying the
mathematical modes increasingly can greatly improve the time of
computerizing process and its accuracy.
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