Advances in Neural Networks – ISNN 2025: 19th International Symposium on Neural Networks, Zhangye, China, August 22–24, 2025, Proceedings

Author:   Long Jin ,  Lidan Wang
Publisher:   Springer
ISBN:  

9789819512324


Pages:   572
Publication Date:   04 October 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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Advances in Neural Networks – ISNN 2025: 19th International Symposium on Neural Networks, Zhangye, China, August 22–24, 2025, Proceedings


Overview

This 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.

Full Product Details

Author:   Long Jin ,  Lidan Wang
Publisher:   Springer
Imprint:   Springer
ISBN:  

9789819512324


ISBN 10:   9819512328
Pages:   572
Publication Date:   04 October 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

.- 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.

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