TY - GEN
T1 - Application of neural network model to evaluate hydro-geological parameters
AU - Horng, Chih Yung
AU - Lee, Cheng Haw
PY - 2009/12/1
Y1 - 2009/12/1
N2 - The study proposes to apply the artificial intelligence combining neural network control system and groundwater flow control equations to investigate the hydro-geological structure and hydraulic parameters in the area of Chou-Shui alluvial fan. We set up the closed-loop control system to simulate the variations of groundwater level in the such area .The close-loop control system collects the feedback data generated from the neural network model and conveys them to the sensor plant (groundwater flow control equation) in the control system . It is found that when the control system responses, the minimum error ( within 5.1×10-4 to 9.2×10-3 in test and predict stage ) of both the neural network model and the sensor plant is occur the results also indicate optimum hydraulic parameters that the innovative method works better than just applied neural network model and MODFLOW software to simulate the groundwater flow.
AB - The study proposes to apply the artificial intelligence combining neural network control system and groundwater flow control equations to investigate the hydro-geological structure and hydraulic parameters in the area of Chou-Shui alluvial fan. We set up the closed-loop control system to simulate the variations of groundwater level in the such area .The close-loop control system collects the feedback data generated from the neural network model and conveys them to the sensor plant (groundwater flow control equation) in the control system . It is found that when the control system responses, the minimum error ( within 5.1×10-4 to 9.2×10-3 in test and predict stage ) of both the neural network model and the sensor plant is occur the results also indicate optimum hydraulic parameters that the innovative method works better than just applied neural network model and MODFLOW software to simulate the groundwater flow.
UR - http://www.scopus.com/inward/record.url?scp=77951444052&partnerID=8YFLogxK
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U2 - 10.1109/ICICIC.2009.110
DO - 10.1109/ICICIC.2009.110
M3 - Conference contribution
AN - SCOPUS:77951444052
SN - 9780769538730
T3 - 2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
SP - 1570
EP - 1573
BT - 2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
T2 - 2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009
Y2 - 7 December 2009 through 9 December 2009
ER -