XIII CONGRESSO BRASILEIRO DE INTELIGÊNCIA COMPUTACIONAL – CBIC 2017

ARTIGOS APRESENTADOS NO XIII CONGRESSO BRASILEIRO DE INTELIGÊNCIA COMPUTACIONAL

 

Evolutionary, swarm and nature-inspired computation

  1. Ant Colony Optimization and Swarm Intelligence
  2. Evolutionary Machine Learning
  3. Evolutionary Multiobjective Optimization
  4. Genetic Programming
  5. Genetic and Evolutionary Algorithms
  6. Real World Applications

Neural and machine learning systems

  1. Artificial Neural Networks
  2. Deep Learning
  3. Hybrid Systems
  4. Machine Learning
  5. Real World Applications

Fuzzy and Stochastic Modeling

  1. Fuzzy Control and Decision Making
  2. Fuzzy Systems
  3. Hybrid Systems
  4. Real World Applications
  5. Uncertainty Analysis

 


ARTIGOS DAS SESSÕES TÉCNICAS


Evolutionary, swarm and nature-inspired computation

Ant Colony Optimization and Swarm Intelligence

Evolutionary Machine Learning

Evolutionary Multiobjective Optimization

Genetic Programming

Genetic and Evolutionary Algorithms

Real World Applications


Neural and machine learning systems

Artificial Neural Networks

Deep Learning

Hybrid Systems

Machine Learning

Real World Applications


Fuzzy and Stochastic Modeling

Fuzzy Control and Decision Making

 

Fuzzy Systems

Real World Applications

Uncertainty Analysis