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The induction of dynamical recognizers
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Computational capabilities of recurrent NARX neural networks
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Office of Naval Research contributions to neural networks and signal processing in oceanic engineering
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Equivalence in knowledge representation: automata, recurrent neural networks, and dynamical fuzzy systems
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Rule revision with recurrent neural networks
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Natural language grammatical inference with recurrent neural networks
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An evolutionary algorithm that constructs recurrent neural networks
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Discrete recurrent neural networks for grammatical inference
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First-order versus second-order single-layer recurrent neural networks
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Pruning recurrent neural networks for improved generalization performance
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Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution
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Comments on "Constructive learning of recurrent neural networks: limitations of recurrent cascade correlation and a simple solution"
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Input-output HMMs for sequence processing
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A new recurrent neural-network architecture for visual pattern recognition
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On learning context-free and context-sensitive languages
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An experiment in spoken language acquisition
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Fuzzy finite-state automata can be deterministically encoded into recurrent neural networks
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Evaluating Benchmark Problems by Random Guessing
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Regular language inference using evolving neural networks
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A sub-symbolic process underlying the usage-based acquisition of a compositional representation: Results of robotic learning experiments of goal-directed actions
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Towards adaptive perception in autonomous robots using second-order recurrent networks
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A fuzzy automaton for control applications
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Semantic inference based on neural probabilistic language modeling for speech indexing
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Regular language induction with genetic programming
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A genetic algorithm for the induction of pushdown automata
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Natural language grammatical inference with support vector machines
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Multi-agent Decision Model and Application Based on Recurrent Neural Network and Particle Swarm Optimization
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Self-clustering recurrent networks
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Constructive learning of recurrent neural networks
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Training recurrent neural networks with temporal input encodings
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Constructing deterministic finite-state automata in sparse recurrent neural networks
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Can recurrent neural networks learn natural language grammars?
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Asynchronous translations with recurrent neural nets
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Hill climbing in recurrent neural networks for learning the a/sup n/b/sup n/c/sup n/ language
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Rule extraction from recurrent neural networks using a symbolic machine learning algorithm
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An EM approach to grammatical inference: input/output HMMs
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A new recurrent neural network architecture for pattern recognition
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Second-order recurrent neural networks for grammatical inference
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Heuristics for the extraction of rules from discrete-time recurrent neural networks
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A gradient descent method for a neural fractal memory
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Recurrent neural networks can learn simple, approximate regular languages
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RAAM for infinite context-free languages
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Dynamical assessment of symbolic processes with backprop nets
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Recognition of objects rotated in depth using partial synchronization of chaotic units
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Self-organized modulation of a neural robot controller
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Recursive PCA and the structure of time series
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Training of recurrent Internal Symmetry Networks by backpropagation
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Emulation of finite state automata with networks of synfire rings
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Automata Computation with Hodgkin-Huxley Based Neural Networks Composed of Synfire Rings
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Modeling tool-body assimilation using second-order Recurrent Neural Network
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Applications and extensions of unsupervised BCM projection pursuit for time-dependent classification
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Pruning recurrent neural networks for improved generalization performance
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A fingerprint segmentation method using a recurrent neural network
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Some applications of second-order connectionist networks to speech recognition problems
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Learnability in sequential RAM-based neural networks
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Grammatical inference using higher order recurrent neural networks
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Context free language induction with genetic programming
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Tool–Body Assimilation of Humanoid Robot Using a Neurodynamical System
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The Applicability of Recurrent Neural Networks for Biological Sequence Analysis
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Anticipation-Based Temporal Sequences Learning in Hierarchical Structure
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A New Approach to Knowledge-Based Design of Recurrent Neural Networks
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Spatio–Temporal Memories for Machine Learning: A Long-Term Memory Organization
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Learning to Perceive the World as Probabilistic or Deterministic via Interaction With Others: A Neuro-Robotics Experiment
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Fractal encoding of context‐free grammars in connectionist networks
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Nonlinear epigenetic variance: review and simulations
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RECURRENT NEURAL NETWORKS AND FINITE AUTOMATA
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An automated hierarchical gait pattern identification tool employing cross‐correlation‐based feature extraction and recurrent neural network based classification
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Fractal Analysis Illuminates the Form of Connectionist Structural Gradualness
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On the Proper Treatment of Dynamics in Cognitive Science
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Understanding Neural Networks for Grammatical Inference and Recognition
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Radar Image Segmentation Using Self-Adapting Recurrent Networks
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GROWING OF A FUZZY RECURRENT ARTIFICIAL NEURAL NETWORK (FRANN) FOR PATTERN CLASSIFICATION
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POINCARÉ MAPPING OF CONTINUOUS RECURRENT NEURAL NETWORKS EXCITED BY TEMPORAL EXTERNAL INPUT
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FRACTAL TRANSITION IN CONTINUOUS RECURRENT NEURAL NETWORKS
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DIMENSION CHANGE, COARSE GRAINED CODING AND PATTERN RECOGNITION IN SPATIO-TEMPORAL NONLINEAR SYSTEMS
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DETECTING AND SORTING TARGETING PEPTIDES WITH NEURAL NETWORKS AND SUPPORT VECTOR MACHINES
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