http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Hüseyin Yolcu (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
Hüseyin Yolcu 한국교육개발원 2018 KEDI Journal of Educational Policy Vol.15 No.1
This study aimed to analyze the extracurricular activities at preschool and primary school stages. There were seven schools, which were managing extracurricular activities and seven administrators chosen to be consulted within the work-group of this study. Content Analysis was used to analyze the data collected during the interviews with administrators. In the arrangements of extracurricular activities in children’s clubs, the expectations and requests of the families, their socio-economic levels (SEL), and the school administrators’ manners play a significant role. As these activities have an entrance fee, while schools with low SEL are being precluded from opening such clubs, the participation at the schools with medium and upper SEL is limited.
-
Modelling and optimization of Fenton processes through neural network and genetic algorithm
Hüseyin Cüce,Fulya Aydın Temel,Ozge Cagcag Yolcu 한국화학공학회 2021 Korean Journal of Chemical Engineering Vol.38 No.11
Response surface methodology (RSM), multi-layer perceptron trained by Levenberg-Marquardt (MLPLM); multi-layer perception and Sigma-Pi neural networks trained by particle swarm optimization (PSO) were used to effectively and reliably predict the performance of Classical-Fenton and Photo-Fenton processes. H2O2 doses, Fe(II) doses, and H2O2/Fe(II) rates were determined as independent variables in batch reactors. The performance of models was compared by using RMSE and MAE error criteria. The performance of models was also evaluated in terms of some properties of regression analysis and scatter that showed high linear relationship between the predictions of SPPSO and the actual removal values. As a distinctive aspect of this study, SPNN trained by PSO was used for the first time in the literature in this area and the best predictive results for almost all cases were generated. Moreover, the genetic algorithm (GA) was applied for SP-PSO model results to determine the optimum values of the study. According to the results of GA, under the optimum conditions Photo-Fenton processes had higher performance in each experiment. Thereby, SP-PSO produced satisfactory prediction results without the need for any additional experiments in the case that experimental designs are difficult or costly for wastewater treatment.
연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
