Representation of finite state automata in recurrent radial basis function networks

Constructing deterministic finite-state automata in recurrent neural networks

Journal of the ACM (JACM)

On the effect of analog noise in discrete-time analog computations

Neural Computation

Refining Numerical Constants in First Order Logic Theories

Machine Learning - Special issue on multistrategy learning

Approximating the Semantics of Logic Programs by Recurrent Neural Networks

Applied Intelligence

Finite-state computation in analog neural networks: steps towards biologically plausible models?

Emergent neural computational architectures based on neuroscience

Recognizing and Discovering Complex Events in Sequences

ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems

Robust Implementaion of Finite Automata by Recurrent RBF Networks

SOFSEM '00 Proceedings of the 27th Conference on Current Trends in Theory and Practice of Informatics

Bidirectional Dynamics for Protein Secondary Structure Prediction

Sequence Learning - Paradigms, Algorithms, and Applications

Finite-State Computation in Analog Neural Networks: Steps towards Biologically Plausible Models?

Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing

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

Neural Networks

Architectural bias in recurrent neural networks: fractal analysis

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

Distributed recursive learning for shape recognition through multiscale trees

Image and Vision Computing

Stable Encoding of Finite-State Machines in Discrete-Time Recurrent Neural Nets with Sigmoid Units

Neural Computation

Stable encoding of large finite-state automata in recurrent neural networks with sigmoid discriminants

Neural Computation

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

Fuzzy Sets and Systems

Group-Linking Method: A Unified Benchmark for Machine Learning with Recurrent Neural Network

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

Semi-supervised clustering using similarity neural networks

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Identification of finite state automata with a class of recurrent neural networks

IEEE Transactions on Neural Networks

Adaptive finite state machine based visual autonomous navigation system

Engineering Applications of Artificial Intelligence