Abstract

é’ˆå¯¹å½“è®­ç»ƒæ ·æœ¬é‡ä¸è¶³æˆ–è€ è¿­ä»£æ¬¡æ•°é™ä½Žæ—¶ç”Ÿæˆå›¾åƒè´¨é‡æ€¥å‰§ä¸‹é™çš„é—®é¢˜ï¼Œæå‡ºäº†ä¸€ç§åŸºäºŽæ”¹è¿›Fisher准则的深度卷积生成对抗网络算法(FDCGAN,Deep Convolutional Generative Adversarial Network algorithm based on improved Fisher's criterionï¼‰ã€‚è¯¥æ–¹æ³•åœ¨åˆ¤åˆ«æ¨¡åž‹ä¸­æ·»åŠ çº¿æ€§å±‚ï¼Œç”¨æ¥æå–ç±»åˆ«ä¿¡æ¯ã€‚åœ¨åå‘ä¼ æ’­ä¸­é‡‡ç”¨åŸºäºŽFisherçš„çº¦æŸå‡†åˆ™ï¼Œç»“åˆæ ‡ç­¾å’Œç±»åˆ«ä¿¡æ¯ï¼Œåœ¨æƒå€¼çš„è¿­ä»£è°ƒæ•´æ—¶æ—¢è€ƒè™‘è¯¯å·®çš„æœ€å°åŒ–ï¼ŒåˆåŒæ—¶è®©æ ·æœ¬ä¿æŒç±»å† è·ç¦»å°ã€ç±»é—´è·ç¦»å¤§ï¼Œä»Žè€Œä½¿æƒå€¼èƒ½æ›´åŠ å¿«é€Ÿåœ°é€¼è¿‘æœ€ä¼˜å€¼ã€‚é€šè¿‡ä¸Žæœ€æ–°ä¸åŒçš„6个网络模型进行对比实验,FDCGAN模型在FIDæŒ‡æ ‡ä¸Šå‡å–å¾—äº†è¾ƒå¥½çš„æ•ˆæžœã€‚æ­¤å¤–ï¼Œé€šè¿‡å°†è¯¥æ–¹æ³•è¿ç”¨åˆ°ç›®å‰å ˆè¿›æ¨¡åž‹ä¸Šè¿›è¡Œæ³›åŒ–æµ‹è¯•ï¼Œå®žéªŒç»“æžœå‡å–å¾—è¾ƒç†æƒ³çš„æ•ˆæžœã€‚

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.