http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
온도 및 습도의 단기 예측에 있어서 역전파 알고리즘의 적용
정효준 ( Jeong Hyo Jun ),황원태 ( Hwang Won Tae ),서경석 ( Seo Gyeong Seog ),김은한 ( Kim Eun Han ),한문희 ( Han Mun Hui ) 한국환경영향평가학회 2003 환경영향평가 Vol.12 No.4
Temperature and humidity forecasting have been performed using artificial neural networks model(ANN). We composed ANN with multi-layer perceptron which is 2 input layers, 2 hidden layers and 1 output layer. Back propagation algorithm was used to train the ANN. 6 nodes and 12 nodes in the middle layers were appropriate to the temperature model for training. And 9 nodes and 6 nodes were also appropriate to the humidity model respectively. 90% of the all data was used learning set, and the extra 10% was used to model verification. In the case of temperature, average temperature before 15 minute and humidity at present constituted input layer, and temperature at present constituted out-layer and humidity model was vice versa. The sensitivity analysis revealed that previous value data contributed to forecasting target value than the other variable. Temperature was pseudo-linearly related to the previous 15 minute average value. We confirmed that ANN with multi-layer perceptron could support pollutant dispersion model by computing meterological data at real time.
영산강 하류부의 목표수질달성을 위한 BOD 부하량 삭감률 산정에 관한 연구
이홍근,황대호,김현용,정효준 대한상하수도학회 2001 상하수도학회지 Vol.15 No.4
The Yeongsan river is the most polluted one among the 4 major rivers in Korea and is required an appropriate water quality management scheme. This study was performed to estimate the reduction rates of BOD loading to achieve the target water quality standard in dry season at the end of the Yeongsan river. The target years are 2006 and 2011 and the reduction method is the uniform treatment which is widely used for administrative affairs. Using QUAL2E model, the estimation was performed under the conditions of establishing and non-establishing the wastewater treatment plants; with plants, in order to achieve water quality standard II, III and IV in 2006, 81%, 36% and 6% of reduction rates is required respectively for the all streams to the river. And in 2011, 86%, 45% and 19%. Without plants, in 2006, 85%, 48% and 24%, in 2011, 89%, 58% and 37% is required, respectively.