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活动简介

The purpose of the International Joint Conference on Computational Intelligence – IJCCI - is to bring together researchers, engineers and practitioners interested on the field of Computational Intelligence both from theoretical and application perspectives.
Four simultaneous tracks will be held covering different aspects of Computational Intelligence, including evolutionary computation, fuzzy computation, neural computation and cognitive and hybrid systems. The connection of these areas in all their wide range of approaches and applications forms the International Joint Conference on Computational Intelligence.

征稿信息

重要日期

2017-06-12
摘要截稿日期
2017-06-24
摘要录用日期
2017-09-01
初稿截稿日期

征稿范围

EVOLUTIONARY COMPUTATION

  • Memetic Algorithms

  • Co-evolution and Collective Behavior

  • Genetic Algorithms

  • Evolutionary Multi-objective Optimization

  • Swarm/Collective Intelligence

  • Ant Colony Optimization

  • Evolutionary Learning Systems

  • Evolvable Computing

  • Evolvable/Adaptive Hardware and Systems

  • Evolutionary Search and Meta-heuristics

  • Representation Techniques

  • Applications: Games and Entertainment Technologies, Evolutionary Robotics, Evolutionary Art and Design, Industrial and Real World applications, Computational Economics and Finance

FUZZY COMPUTATION

  • Approximate Reasoning and Fuzzy Inference

  • Type-2 Fuzzy Logic

  • Fuzzy Databases

  • Complex Fuzzy Systems

  • Fuzzy Information Processing, Fusion, Text Mining

  • Fuzzy Systems Design

  • Fuzzy Logic in Machine Learning

  • Learning and Adaptive Fuzzy Systems

  • Fuzzy Hardware/Software, Fuzzy Architectures

  • Fuzzy Control

  • Applications: Fuzzy Systems in Robotics, Fuzzy Image, Speech and Signal Processing, Vision and Multimedia, Pattern Recognition, Financial and Medical Applications, Fuzzy Information Retrieval and Data Mining, Big Data and Cloud Computing, Industrial and Real World Applications, System Identification and Fault Detection, Natural Language Processing, Security Systems

NEURAL COMPUTATION

  • Deep Learning

  • Learning Paradigms and Algorithms

  • Neurocomputational Formulations

  • Self-organization and Emergence

  • Support Vector Machines and Kernel Methods

  • RBF Structures

  • Neurodynamic Approaches and Solutions

  • Reinforcement Learning

  • Stochastic Learning and Statistical Algorithms

  • Single-neuron Modeling

  • Computational Neuroscience

  • Higher Level Artificial Neural Network Based Intelligent Systems

  • Adaptive Architectures and Mechanisms

  • Stability and Instability in Artificial Neural Networks

  • Complex Artificial Neural Network Based Systems and Dynamics

  • 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 Processing, Neural Network Software and Applications, Applications of Deep Neural networks, Robotics and Control Applications

COGNITIVE AND HYBRID SYSTEMS

  • Soft Computing and Intelligent Agents

  • Knowledge and Skill Acquistion

  • Multi-agent Intelligent Systems and Applications

  • Collective and Distributed Intelligence

  • Embedded Intelligent Systems

  • Bio-inspired Hardware and Networks

  • Bio-inspired Cognitive Architectures

  • Biomorphic Systems

  • Cognitive Architecture

  • Perceptual Modeling, Artificial Perception and Awareness

  • Emulation of Cognitive Functions

  • Human-Machine and Machine-Machine interaction

  • Cognitive Software Systems and Applications

  • Ambient Intelligence

  • Emotional Computation

  • Neurocognitive Networks and Models

  • Neuro-fuzzy Systems

  • Neuro-evolutionary Systems

  • Neuro-swarm

  • Adaptive, Hierarchical, Neuro and Evolutionary Fuzzy Systems

  • Applications: Image and Signal Processing, Pattern Recognition, Decision Making, Human-Robot Interaction, Human Computer Interaction, Cognitive Robotics and Developmental Robotic, Sensor Mesh, Intelligent Networks, Internet Modeling, Multi-sensor Data Fusion using Computational Intelligence, Perceptual and Motor Functions (Visual, Auditory, Tactile, Virtual Reality, etc.), Intelligent Systems in Education

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重要日期
  • 11月01日

    2017

    会议日期

  • 06月12日 2017

    摘要截稿日期

  • 06月24日 2017

    摘要录用通知日期

  • 09月01日 2017

    初稿截稿日期

  • 11月01日 2017

    注册截止日期

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