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.
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
11月01日
2017
会议日期
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