12^th International Conference on Neural computation Theory and Applicatons (NTCA 2020)

November 04~06, 2020, Online Streaming

Scope & Topics

12^th International Conference on Neural computation Theory and Applicatons (NTCA 2020) 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.

Topics of Interest :

• 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

Paper Submission

Authors should submit a paper in English, carefully checked for correct grammar and spelling, addressing one or several of the conference areas or topics. Each paper should clearly indicate the nature of its technical/scientific contribution, and the problems, domains or environments to which it is applicable. To facilitate the double-blind paper evaluation method, authors are kindly requested to produce and provide the paper WITHOUT any reference to any of the authors, including the authors’ personal details, the acknowledgments section of the paper and any other reference that may disclose the authors’ identity. Submission System Authors can submit their work in the form of a Regular Paper, representing completed and validated research, or as a Position Paper, portraying a short report of work in progress or an arguable opinion about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. All papers must be submitted through the online submission platform PRIMORIS and should follow the instructions and templates that can be found under Guidelines and Templates. After the paper submission has been successfully completed, authors will receive an automatic confirmation e-mail.

Important Dates

***** The invited talk proposals can be submitted to ncta.secretariat@insticc.org