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EO-CNN: an enhanced CNN model trained by equilibrium optimization for traffic transportation prediction
Názov EO-CNN: an enhanced CNN model trained by equilibrium optimization for traffic transportation prediction Autor Nguyen Thieu Spoluautori Nguyen Giang 1972- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Nguyen Binh Minh SCOPUS RID ORCID Zdroj.dok. Procedia Computer Science. Vol. 176 (2020), p. 800-809 Jazyk dok. eng - angličtina Druh dok. rozpis článkov z periodík (rbx) Ohlasy WU, Hongchang. Texture Image Classification Method of Porcelain Fragments Based on Convolutional Neural Network. In COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE. ISSN 1687-5265, 2021, vol. 2021, no., pp. MUKHERJEE, Rana Pratap - ROY, Provas Kumar - PRADHAN, Dinesh Kumar. An Efficient FNN Model with Chaotic Oppositional Based SCA to Solve Classification Problem. In IETE JOURNAL OF RESEARCH. ISSN 0377-2063, 2021, vol., no., pp. OYELADE, Olaide N. - EZUGWU, Absalom E. Characterization of abnormalities in breast cancer images using nature-inspired metaheuristic optimized convolutional neural networks model. 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Názov súboru Prístup Veľkosť Stiahnuté Typ Licence EO-CNN -an enhanced CNN model trained by equilibrium optimization for traffic transportation prediction.pdf Prístupný 706.8 KB 0 Vydavateľská verzia rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore N rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2020 2019 0.342
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