Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
The 'Neural' Phonetic Typewriter
Computer
Perceptron redux: emergence of structure
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Technical Note: \cal Q-Learning
Machine Learning
Associative engines: connectionism, concepts, and representational change
Associative engines: connectionism, concepts, and representational change
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Identification of singleton fuzzy models via fuzzy hyperrectangular composite NN
Fuzzy model identification
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Learning fuzzy classifier systems for multi-agent coordination
Information Sciences: an International Journal - Recent advances in genetic fuzzy systems
Robot Shaping: An Experiment in Behavior Engineering
Robot Shaping: An Experiment in Behavior Engineering
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Artificial Intelligence Review
Learning to Predict by the Methods of Temporal Differences
Machine Learning
Learning Classifier Systems, From Foundations to Applications
Learning Classifier Systems, From Foundations to Applications
Knowledge Growth in an Artificial Animal
Proceedings of the 1st International Conference on Genetic Algorithms
Accuracy-based Neuro And Neuro-fuzzy Classifier Systems
GECCO '02 Proceedings of the Genetic and Evolutionary Computation Conference
Credit Assignment for Pole Balancing with Learning Classifier Systems
Proceedings of the 5th International Conference on Genetic Algorithms
Intelligent behavior as an adaptation to the task environment
Intelligent behavior as an adaptation to the task environment
Is a learning classifier system a type of neural network?
Evolutionary Computation
Classifier fitness based on accuracy
Evolutionary Computation
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Designing classifier fusion systems by genetic algorithms
IEEE Transactions on Evolutionary Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An approach to the design of reinforcement functions in real world,agent-based applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Expertness based cooperative Q-learning
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An ART-based fuzzy adaptive learning control network
IEEE Transactions on Fuzzy Systems
Self-organizing neuro-fuzzy system for control of unknown plants
IEEE Transactions on Fuzzy Systems
Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems
IEEE Transactions on Fuzzy Systems
Fuzzy basis functions: comparisons with other basis functions
IEEE Transactions on Fuzzy Systems
Reinforcement learning for an ART-based fuzzy adaptive learning control network
IEEE Transactions on Neural Networks
Online learning control by association and reinforcement
IEEE Transactions on Neural Networks
Learning to trade via direct reinforcement
IEEE Transactions on Neural Networks
Subsethood-product fuzzy neural inference system (SuPFuNIS)
IEEE Transactions on Neural Networks
GenSoFNN: a generic self-organizing fuzzy neural network
IEEE Transactions on Neural Networks
Adaptive fuzzy systems for backing up a truck-and-trailer
IEEE Transactions on Neural Networks
Learning and tuning fuzzy logic controllers through reinforcements
IEEE Transactions on Neural Networks
On fuzzy modeling using fuzzy neural networks with the back-propagation algorithm
IEEE Transactions on Neural Networks
Fuzzy basis functions, universal approximation, and orthogonal least-squares learning
IEEE Transactions on Neural Networks
ICCOMP'06 Proceedings of the 10th WSEAS international conference on Computers
A novel approach to classificatory problem using neuro-fuzzy architecture
International Journal of Systems, Control and Communications
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A classifier system is a machine learning system that learns syntactically simple string rules (called classifiers) through a genetic algorithm to guide its performance in an arbitrary environment. In a classifier system, the bucket brigade algorithm is used to solve the problem of credit assignment, which is a critical problem in the field of reinforcement learning. In this paper, we propose a new approach to fuzzy classifier systems and a neuro-fuzzy system referred to as ACSNFIS to implement the proposed fuzzy classifier system. The proposed system is tested by the balancing problem of a cart pole and the back-driving problem of a truck to demonstrate its performance.