12th International Joint Conference on Computational Intelligence

November 02th-04th, 2020 - Budapest,Hungery.

Scope & Topics

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 include, but are not limited to, the following

• Computational Neuroscience
• Convolutional Neural Networks
• Deep Learning
• Learning Paradigms and Algorithms
• Kernel Neural Networks
• Reinforcement Learning
• Neuro-Fuzzy Approaches, Solutions and Applications
• Neural based Implementation, Applications and Solutions
• Adaptive Architectures and Mechanisms
• Statistical Pattern Recognition
• Industrial Inspection

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. .

Important Dates