会议信息
NCTA 2024: International Conference on Neural Computation Theory and Applications
https://ncta.scitevents.org/截稿日期: |
2024-06-03 |
通知日期: |
2024-07-31 |
会议日期: |
2024-11-20 |
会议地点: |
Porto, Portugal |
届数: |
16 |
浏览: 13532 关注: 0 参加: 0
征稿
SCOPE
Neural computation and artificial neural networks, especially in relation to deep learning, have seen an explosion of interest over the recent decades, and are being successfully applied across an extraordinary range of problem domains, in areas as diverse as finance, medicine, engineering, geology and physics, in problems of complex dynamics and complex behavior prediction, classification or control. Several architectures, learning strategies and algorithms have been introduced in this highly dynamic field in the last couple of decades. Nowadays, having reached notable scientific and applicative maturity, neural computation and related techniques are considered as major basis toward the completion of intelligent artificial systems. This conference intends to be a major forum for scientists, engineers and practitioners interested in the study, analysis, design, modeling and implementation of neural computing systems, both theoretically and in a broad range of application fields.
CONFERENCE TOPICS
Adaptive Architectures and Mechanisms
Applications: Image Processing and Artificial Vision, Pattern Recognition, Decision Making, Industrial and Real World Applications, Financial Applications, Neural Prostheses and Medical Applications, Neural Based Data Mining and Complex Information Process
Complex Artificial Neural Network Based Systems and Dynamics
Computational Neuroscience
Convolutional Neural Networks
Deep Learning
Higher Level Artificial Neural Network Based Intelligent Systems
Learning Paradigms and Algorithms
Neurocomputational Formulations
Neural Approaches and Neural Architectures
Kernel Neural Networks
Recurrent Neural Networks
Reinforcement Learning
Self-Organizing Maps (SOM) and Self-organizing Systems
Bio-inspired models and solutions
Stability and Instability in Artificial Neural Networks
Stochastic Learning and Statistical Algorithms
Support Vector Machines and Kernel Methods
Neural based Implementation, Applications and Solutions
Neuro-Fuzzy Approaches, Solutions and Applications
最后更新 Dou Sun 在 2024-04-06
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|---|---|---|---|---|
| c | Neural Computing & Applications | 4.500 | Springer | 0941-0643 |
| Neural Computing and Applications | 4.500 | Springer | 0941-0643 | |
| International Journal of Computational Geometry and Applications | World Scientific | 0218-1959 | ||
| c | Journal of Network and Computer Applications | 8.0 | Elsevier | 1084-8045 |
| Journal of Optimization Theory and Applications | 1.600 | Springer | 0022-3239 | |
| IET Control Theory & Applications | 2.200 | IET | 1751-8644 | |
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| c | Computational Geometry: Theory and Applications | 0.400 | Elsevier | 0925-7721 |
| International Journal on Computational Science & Applications | AIRCC | 2200-0011 | ||
| Journal of Computational Analysis and Applications | Springer | 1521-1398 |
| 全称 | 影响因子 | 出版商 |
|---|---|---|
| Neural Computing & Applications | 4.500 | Springer |
| Neural Computing and Applications | 4.500 | Springer |
| International Journal of Computational Geometry and Applications | World Scientific | |
| Journal of Network and Computer Applications | 8.0 | Elsevier |
| Journal of Optimization Theory and Applications | 1.600 | Springer |
| IET Control Theory & Applications | 2.200 | IET |
| Journal of Control Theory and Applications | 1.700 | Springer |
| Computational Geometry: Theory and Applications | 0.400 | Elsevier |
| International Journal on Computational Science & Applications | AIRCC | |
| Journal of Computational Analysis and Applications | Springer |