표제지
Abstract
목차
I. 서론 8
II. 재료 및 방법 11
1. 대상해역 11
2. 인공신경망 12
1) 인공신경망의 구조 12
2) 학습자료의 종류와 정규화 14
3) 통계적 검정 15
4) 환경요인 분석 16
III. 결과 17
1. 인공신경망 유효성 검정 17
2. 크기별 식물플랑크톤 생체량과 환경요인 간의 관계 22
IV. 고찰 25
V. 결론 28
참고문헌 29
Table 1. Indices of statistical validation. 15
Table 2. Number of training with their corresponding error according to artificial... 17
Table 3. Statistical validation of artificial neural network model. 21
Fig. 2-1. Sampling stations in the Youngsan river estuary. 11
Fig. 2-2. Structure of artificial neural network. 13
Fig. 3-1. Simulated and observed comparison of chlorophyll a of each... 18
Fig. 3-2. Simulated and observed comparison of chlorophyll a of each... 19
Fig. 3-3. Simulated and observed comparison of chlorophyll a of each... 20
Fig. 3-4. Relationship between the input values and the simulated chlorophyll α... 23
Fig. 3-5. Influence between the input values and the simulated chlorophyll α... 24