Comparisons of Prediction Efficiency of Learning Effect between Neural Network and Learning Curve
碩士 === 朝陽科技大學 === 營建工程系碩士班 === 92 === In a repeatable construction project, same activity is repeatedly performed. Each time the activity is performed, the workers presumably discover how to make it better and quicker and such phenomena is called learning effect. The learning effect is usually forec...
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| Format: | Others |
| Language: | zh-TW |
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2004
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| Online Access: | http://ndltd.ncl.edu.tw/handle/tar8hv |
| Summary: | 碩士 === 朝陽科技大學 === 營建工程系碩士班 === 92 === In a repeatable construction project, same activity is repeatedly performed. Each time the activity is performed, the workers presumably discover how to make it better and quicker and such phenomena is called learning effect. The learning effect is usually forecasted by learning curves for the sake of predicting completion time for a project. However, learning curves are usually more accurate for forecast duration in early construction stage than later one of a project. This research aims at comparing the efficiency of applying neural network and learning curves for the prediction of learning effect. Case study shows neural network providing a better quality in the forecasting learning phenomena.
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