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Advances in Neural Networks – ISNN 2025 : 19th International Symposium on Neural Networks, Zhangye, China, August 22–24, 2025, Proceedings / / edited by Long Jin, Lidan Wang
| Advances in Neural Networks – ISNN 2025 : 19th International Symposium on Neural Networks, Zhangye, China, August 22–24, 2025, Proceedings / / edited by Long Jin, Lidan Wang |
| Autore | Jin Long |
| Edizione | [1st ed. 2026.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 |
| Descrizione fisica | 1 online resource (948 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) | WangLidan |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Artificial intelligence
Numerical analysis Computer vision Algorithms Artificial Intelligence Numerical Analysis Computer Vision Design and Analysis of Algorithms |
| ISBN |
9789819512331
9789819512324 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | -- 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. |
| Record Nr. | UNISA-996673175803316 |
Jin Long
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2026 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Neural Dynamics for Time-varying Problems : Advances and Applications / / by Long Jin, Lin Wei, Xin Lv
| Neural Dynamics for Time-varying Problems : Advances and Applications / / by Long Jin, Lin Wei, Xin Lv |
| Autore | Jin Long |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (213 pages) |
| Disciplina | 003 |
| Altri autori (Persone) |
WeiLin
LvXin |
| Soggetto topico |
Artificial intelligence
Computational intelligence System theory Control theory Artificial Intelligence Computational Intelligence Systems Theory, Control |
| ISBN |
9783031685941
3031685946 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Neural Dynamics Based on Control Theoretical Techniques -- 2. Complex-Valued Discrete-Time Neural Dynamics -- 3. Noise-Tolerant Neural Dynamics -- 4. Computational Neural Dynamics -- 5. Discrete Computational Neural Dynamics -- 6. High-Order Robust Discrete-Time Neural Dynamics -- 7. Collaborative Neural Dynamics. |
| Record Nr. | UNINA-9910983318003321 |
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Jin Long
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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