Conference Information
NCTA 2024: International Conference on Neural Computation Theory and Applications
https://ncta.scitevents.org/Submission Date: |
2024-06-03 |
Notification Date: |
2024-07-31 |
Conference Date: |
2024-11-20 |
Location: |
Porto, Portugal |
Years: |
16 |
Viewed: 9473 Tracked: 0 Attend: 0
Call For Papers
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
Last updated by Dou Sun in 2024-04-06
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