Extraction of rules from discrete-time recurrent neural networks

Analysis of dynamical recognizers

Neural Computation

Concepts from time series

AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence

Approximating the Semantics of Logic Programs by Recurrent Neural Networks

Applied Intelligence

Knowledge Extraction from Transducer Neural Networks

Applied Intelligence

Neural and Neuro-Fuzzy Integration in a Knowledge-Based System for Air Quality Prediction

Applied Intelligence

Using Extra Output Learning to Insert a Symbolic Theory into a Connectionist Network

Minds and Machines

Rule Revision With Recurrent Neural Networks

IEEE Transactions on Knowledge and Data Engineering

Symbolic Interpretation of Artificial Neural Networks

IEEE Transactions on Knowledge and Data Engineering

Natural Language Grammatical Inference with Recurrent Neural Networks

IEEE Transactions on Knowledge and Data Engineering

Mapping the Growing Neural Gas to Situation Calculus

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Rule Extraction from Prediction Models

PAKDD '99 Proceedings of the Third Pacific-Asia Conference on Methodologies for Knowledge Discovery and Data Mining

On-line identification and reconstruction of finite automata with generalized recurrent neural networks

Neural Networks

A machine learning method for extracting symbolic knowledge from recurrent neural networks

Neural Computation

Learning Beyond Finite Memory in Recurrent Networks of Spiking Neurons

Neural Computation

Rule Extraction from Recurrent Neural Networks: A Taxonomy and Review

Neural Computation

An Improved Algorithm for Eleman Neural Network by Adding a Modified Error Function

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks

Extracting symbolic knowledge from recurrent neural networks---A fuzzy logic approach

Fuzzy Sets and Systems

Cross-domain knowledge transfer using structured representations

AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1

Transmembrane segments prediction and understanding using support vector machine and decision tree

Expert Systems with Applications: An International Journal

A multiobjective genetic algorithm for obtaining the optimal size of a recurrent neural network for grammatical inference

Pattern Recognition

Application of multi-layer recurrent neural network in chaotic time series prediction: a real case study of crude oil distillation capacity

International Journal of Artificial Intelligence and Soft Computing

Symbol grounding through cumulative learning

EELC'06 Proceedings of the Third international conference on Emergence and Evolution of Linguistic Communication: symbol Grounding and Beyond

Inductive bias strength in knowledge-based neural networks: application to magnetic resonance spectroscopy of breast tissues

Artificial Intelligence in Medicine

A model for single and multiple knowledge based networks

Artificial Intelligence in Medicine

Hybrid preference machines based on inspiration from neuroscience

Cognitive Systems Research

Recurrent networks for structured data - A unifying approach and its properties

Cognitive Systems Research

Learning symbolic representations of hybrid dynamical systems

The Journal of Machine Learning Research