02037nam a2200445 c 4500001001300000005001500013007000300028008004100031020003300072041001300105049002800118052001800146056001400164082001600178245027200194260007000466300005100536490003400587500008100621504002400702546002500726650004700751650004700798650004700845650004700892650004700939650004500986700004101031700005601072700002201128700004401150830007601194880011601270880008601386880002701472880002801499880002701527880002701554950001001581KMO20216519220220111155015ta210818s2020 sjkad 000 kor  a9791159804489g93530:c\70000 akorbeng0 lEM8061810lEM8061811c201a539.93b21-34 a539.932601a628.116223006880-01a인공지능 딥러닝을 활용한 조류현상 예측기술 개발 및 활용방안 =xDevelopment and application of algal bloom using artificial intelligence deep learning /d연구책임자: 홍한움 ;e참여연구원: 조을생,e강선아,e한국진 6880-02a세종 :bKEI(한국환경정책·평가연구원),c2020 axx, 104 p. :b천연색삽화, 도표 ;c25 cm10aKEI연구보고서 ;v2020-20 a권말부록: 1. 수위 지점 정보 ; 2. 데이터 수집 파이썬 코드 a참고문헌 수록 a영어 요약 있음 8a해양 환경[海洋環境]0KSH1998037051 8a수질 환경[水質環境]0KSH1999010833 8a녹조 현상[綠潮現象]0KSH2020000593 8a적조 현상[赤潮現象]0KSH2002016557 8a인공 지능[人工知能]0KSH1998001227 8a딥 러닝[deep learning]0KSH20160000401 6880-03a홍한움0KAC2019G48494aut1 6880-04a조을생,g曺乙生,d1971-0KAC2012215681 6880-05a강선아1 6880-06a한국진,d1978-0KAC201857402 0aKEI연구보고서(KEI(한국환경정책·평가연구원)) ;v2020-20006245-01/(BaIngong jineung dip reoning eul hwaryong han joryu hyeonsang yecheuk gisul gaebal mit hwaryong bangan 6260-02/(BaSejong :bKEI(Hanguk Hwangyeong Jeongchaek·Pyeongga Yeonguwon),c20201 6700-03/(BaHong, Hanum1 6700-04/(BaJo, Eulsaeng1 6700-05/(BaGang, Seona1 6700-06/(BaHan, Gukjin0 b\7000