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
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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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