| 학회 | 한국화학공학회 |
| 학술대회 | 2000년 가을 (10/20 ~ 10/21, 포항공과대학교) |
| 권호 | 6권 2호, p.3857 |
| 발표분야 | 생물화공 |
| 제목 | 뉴럴네트워크 알고리즘을 이용한 생물전자소자의 색채 인식 시뮬레이션 |
| 초록 | In this study, input layer, hidden layer and output layer were composed of 10, 10, 3 nodes, respectively. This network is trained to recognize color pattern. The extreme values are duplicated as validating examples in order to terminate the learning process as soon as they are correct. Photocurrent generated from device was used as real input data for learning neural network. The process begin by considering learning with a teacher, which is also referred to as the supervised learning. |
| 저자 | 정우철, 최현구, 이원홍, 최정우 |
| 소속 | 서강대 |
| 키워드 | |
| 원문파일 | 초록 보기 |
