Tai-Sheng Wang

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Parallel GEGA was constructed by incorporating grammatical evolution (GE) into the parallel genetic algorithm (GA) to improve reservoir water quality monitoring based on remote sensing images. A cruise was conducted to ground-truth chlorophyll-a (Chl-a) concentration longitudinally along the Feitsui Reservoir, the primary water supply for Taipei City in(More)
This paper proposes the artificial neural networks (ANNs) and applies it to estimate the slump of high performance concrete (HPC). It is known that HPC is a highly complex material whose behavior is difficult to model, especially for slump. To estimate the slump, it is a nonlinear function of the content of all concrete ingredients, including cement, fly(More)
The artificial neural networks (ANNs) were adopted to improve the monitoring capability of water quality in a reservoir using remote sensing images. Simultaneous measurement of chlorophyll-a concentration along the Feitsui reservoir, the primary water supply of Taipei city, was conducted by ferryboat. Those ground measured values were used to calibrate(More)
The artificial neural networks (ANNs) were adopted to improve the monitoring capability of water quality in a reservoir using multi-temporal satellite imageries. Simultaneous measurement of chlorophyll-a (Chl-a) concentration along the Feitsui Reservoir, the primary water supply of Taipei City, was conducted by ferryboat. Those ground measured values were(More)
This paper explores the feasibility of applying a grammatical evolution (GE) system and combines it with the genetic algorithm (GA) to establish the inflow predicting model of De-Chi Reservoir in central Taiwan. First, a GE is an evolutionary automatic programming type system, which can discover relationships among observed data and express them(More)
The main purpose of this paper is to establish a monthly water quality predicting model of Feitsui Reservoir in northern Taiwan. This model is based on data from nutrient loads to simulate the dynamic nutrient concentration in reservoir. The proposed model employed artificial neural networks (ANNs) with the back-propagation algorithm which can obtain a(More)
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