LEADER 03581nam 22006375 450 001 9911046536603321 005 20250822130218.0 010 $a9789819512331$b(electronic bk.) 010 $z9789819512324 024 7 $a10.1007/978-981-95-1233-1 035 $a(MiAaPQ)EBC32270387 035 $a(Au-PeEL)EBL32270387 035 $a(CKB)40410623800041 035 $a(DE-He213)978-981-95-1233-1 035 $a(OCoLC)1534809767 035 $a(EXLCZ)9940410623800041 100 $a20250822d2026 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Neural Networks ? ISNN 2025 $e19th International Symposium on Neural Networks, Zhangye, China, August 22?24, 2025, Proceedings /$fedited by Long Jin, Lidan Wang 205 $a1st ed. 2026. 210 1$aSingapore :$cSpringer Nature Singapore :$cImprint: Springer,$d2026. 215 $a1 online resource (948 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v15951 311 08$aPrint version: Jin, Long Advances in Neural Networks - ISNN 2025 Singapore : Springer,c2025 9789819512324 327 $a -- Design, Modeling and Application of AI Algorithms. -- Hybrid Architecture Accelerator Co-design for DNN on FPGA and ASIC. -- Modeling Competitive Behavior in Weight-Unbalanced Social Networks. -- DeeP-Mod: Deep Dynamic Programming based Environment Modelling using Feature Extraction. -- Muography Inversion Based on First-Order Optimization Algorithm. -- Regression-based Index Tracking versus Clustering-based Index Tracking: An Empirical Study. -- Adversarial Imitation Learning Based on Weighted Wasserstein Distance. -- Robust and Efficient Early Exit for Large Language Models: Mitigating KV Cache Loss and Enhancing Exit Stability. -- CDEDI: A Conditional Diffusion Based Model for Environmental Data imputation. -- Joint Forecasting of Stock Price Change Rate Based on Pretrained Models Using Text and Temporal Data. -- Multimodal Deep Learning for Retinal Disease Diagnosis. 330 $aThis volume constitutes the refereed proceedings of the 19th International Symposium on Neural Networks, ISNN 2025, held in Zhangye, China, during August 22?24, 2025. The 52 full papers were carefully reviewed and selected from 60 submission. They were organized in topical sections as follows: Design, Modeling and Application of AI Algorithms; Signal, Image, and Video Processing; Modeling, Analysis, and Implementation of Neural Networks; Control Systems, Robotics, and Autonomous Driving; Machine Learning Methods and Applications. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v15951 606 $aArtificial intelligence 606 $aNumerical analysis 606 $aComputer vision 606 $aAlgorithms 606 $aArtificial Intelligence 606 $aNumerical Analysis 606 $aComputer Vision 606 $aDesign and Analysis of Algorithms 615 0$aArtificial intelligence. 615 0$aNumerical analysis. 615 0$aComputer vision. 615 0$aAlgorithms. 615 14$aArtificial Intelligence. 615 24$aNumerical Analysis. 615 24$aComputer Vision. 615 24$aDesign and Analysis of Algorithms. 676 $a006.3 700 $aJin$b Long$01784550 701 $aWang$b Lidan$01845143 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911046536603321 996 $aAdvances in Neural Networks - ISNN 2025$94428615 997 $aUNINA