Category:Computational Intelligence

From Scholarpedia

Computational intelligence is the theory of biologically motivated computational paradigms emphasizing neural networks, connectionist and distributed systems, genetic algorithms, evolutionary computation, and fuzzy systems.

Subcategories

There are 22 subcategories to this category.

A Artificial Life B Brain Models Brain Theory C Conditioning E Evolutionary Computation F Feedforward Networks G Graph Theory

I Information Theory M Memory Models of Neurons N Navigation and Control Network Dynamics Neural networks Neuron Neuroscience

P Pattern Recognition R Recurrent Neural Networks Reinforcement Learning Robotics S Signal Analysis Simulation Environment Spiking Networks

Articles in category "Computational_Intelligence"

There are 114 articles in this category.

A Actor-critic method Agent based modeling Agent-based computational economics Algorithmic complexity Algorithmic information theory Algorithmic probability Andrey Nikolaevich Kolmogorov Animats Ant colony optimization Applications of algorithmic information theory Artificial bee colony algorithm B Bayesian Ying Yang learning Bayesian inference Bayesian learning Boltzmann machine Brain-machine interface C Cellular automata Coevolutionary fuzzy modeling Complexity Computer vision Confabulation theory Connection method Copulas Cybernetics D Developmental robotics Differential evolution Dimensionality reduction E Echo state network Encyclopedia of computational intelligence Encyclopedia of computational neuroscience Ensemble learning Error back-propagation Evolution strategies Evolutionary algorithms Evolutionary programming F Fuzzy C-means cluster analysis Fuzzy transforms Fuzzy classifiers

F cont. Fuzzy integral Fuzzy logic Fuzzy neural network Fuzzy sets G Game of life Gaussian process temporal difference learning Genetic algorithms Genetic programming Grammatical inference Graph theory Graphical models H Helmholtz machine Holonomic brain theory Hopfield network I Intuitionistic fuzzy sets K K-nearest neighbor Kohonen network L LEGION: locally excitatory globally inhibitory oscillator networks Learning ex vivo Light-weight robots Liquid state machine M MV-algebras Machine consciousness Machine learning Machine vision Metalearning Modeling with words Modular models of brain function Morphogenetic evolvable hardware Multiobjective evolutionary algorithms N Natural language processing Nelder-Mead algorithm Neocognitron NeuroEvolution of augmenting topologies (NEAT) Neuron Neuropercolation Neurorobotics O Object recognition Oja learning rule

O cont. On-line learning P Particle swarm optimization Pattern recognition Policy gradient methods Possibility theory Principal component analysis R Random sets Recurrent neural networks Reinforcement learning Rescorla-Wagner model Reward Reward signals Rival penalized competitive learning Rule extraction S Scale-free networks Sensorimotor control Short-term plasticity Signal-to-noise ratio Silicon neurons Speaker recognition Speech recognition Spine motility Stochastic optimization Stochastic diffusion search Supervised learning Support vector machine Swarm intelligence T Takagi-sugeno fuzzy model Talk:Cellular automata Triangular norms and conorms U Universal search Unsupervised learning V VLSI implementation of neural networks Vapnik-Chervonenkis dimension W Web mining Widrow-Hoff learning rule Word sense disambiguation