Long short-term memory

Online Text Prediction with Recurrent Neural Networks

Neural Processing Letters

Generalization Ability of Folding Networks

IEEE Transactions on Knowledge and Data Engineering

Incremental Syntactic Parsing of Natural Language Corpora with Simple Synchrony Networks

IEEE Transactions on Knowledge and Data Engineering

Learning nonregular languages: a comparison of simple recurrent networks and LSTM

Neural Computation

Universal approximation of multiple nonlinear operators by neural networks

Neural Computation

Sufficient conditions for error backflow convergence in dynamical recurrent neural networks

Neural Computation

Learning default mappings and exception handling

ICSAB Proceedings of the seventh international conference on simulation of adaptive behavior on From animals to animats

Learning to generate articulated behavior through the bottom-up and the top-down interaction processes

Neural Networks

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

Neural Networks

Kalman filters improve LSTM network performance in problems unsolvable by traditional recurrent nets

Neural Networks

A taxonomy for spatiotemporal connectionist networks revisited: the unsupervised case

Neural Computation

Recurrent neural networks with small weights implement definite memory machines

Neural Computation

Local maximum ozone concentration prediction using soft computing methodologies

Systems Analysis Modelling Simulation

Learning precise timing with lstm recurrent networks

The Journal of Machine Learning Research

Genetic Evolution Processing of Classification

IEEE Transactions on Knowledge and Data Engineering

Co-evolving recurrent neurons learn deep memory POMDPs

GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation

Modeling systems with internal state using evolino

GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation

Motor primitive and sequence self-organization in a hierarchical recurrent neural network

Neural Networks - 2004 Special issue: New developments in self-organizing systems

Making Working Memory Work: A Computational Model of Learning in the Prefrontal Cortex and Basal Ganglia

Neural Computation

Named entity recognition with long short-term memory

CONLL '03 Proceedings of the seventh conference on Natural language learning at HLT-NAACL 2003 - Volume 4

Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks

ICML '06 Proceedings of the 23rd international conference on Machine learning

Genomic computing networks learn complex POMDPs

Proceedings of the 8th annual conference on Genetic and evolutionary computation

Analysis and design of echo state networks

Neural Computation

Elman Backpropagation as Reinforcement for Simple Recurrent Networks

Neural Computation

On the implicit acquisition of a context-free grammar by a simple recurrent neural network

Neurocomputing

Improving reservoirs using intrinsic plasticity

Neurocomputing

An investigation of the state formation and transition limitations for prediction problems in recurrent neural networks

ACSC '08 Proceedings of the thirty-first Australasian conference on Computer science - Volume 74

Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory Systems

Anticipatory Behavior in Adaptive Learning Systems

A Testbed for Neural-Network Models Capable of Integrating Information in Time

Anticipatory Behavior in Adaptive Learning Systems

Practical Recurrent Learning (PRL) in the Discrete Time Domain

Neural Information Processing

2008 Special Issue: The Emergent neural modeling system

Neural Networks

REINFORCEMENT LEARNING FOR POMDP USING STATE CLASSIFICATION

Applied Artificial Intelligence

Clause identification with long short-term memory

ConLL '01 Proceedings of the 2001 workshop on Computational Natural Language Learning - Volume 7

A multidimensional dynamic time warping algorithm for efficient multimodal fusion of asynchronous data streams

Neurocomputing

Spatio-temporal memories for machine learning: a long-term memory organization

IEEE Transactions on Neural Networks

Knowledge-based recurrent neural networks in Reinforcement Learning

ASC '07 Proceedings of The Eleventh IASTED International Conference on Artificial Intelligence and Soft Computing

Speeding up reinforcement learning using recurrent neural networks in non-Markovian environments

ASC '07 Proceedings of The Eleventh IASTED International Conference on Artificial Intelligence and Soft Computing

Scalable Neural Networks for Board Games

ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I

Optimized sensory-motor couplings plus strategy extensions for the TORCS car racing challenge

CIG'09 Proceedings of the 5th international conference on Computational Intelligence and Games

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

Pattern Recognition

PyBrain

The Journal of Machine Learning Research

Deep, big, simple neural nets for handwritten digit recognition

Neural Computation

An unsupervised learning based LSTM model: a new architecture

AMERICAN-MATH'11/CEA'11 Proceedings of the 2011 American conference on applied mathematics and the 5th WSEAS international conference on Computer engineering and applications

Back-propagation as reinforcement in prediction tasks

ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II

Time-dependent series variance estimation via recurrent neural networks

ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I

A multi-layer hybrid framework for dimensional emotion classification

MM '11 Proceedings of the 19th ACM international conference on Multimedia

A generalized LSTM-like training algorithm for second-order recurrent neural networks

Neural Networks

Original article: Learning over sets with Recurrent Neural Networks: An empirical categorization of aggregation functions

Mathematics and Computers in Simulation

Fast color-based object recognition independent of position and orientation

ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I

Working memory and response selection: A computational account of interactions among cortico-basalganglio-thalamic loops

Neural Networks

Neural network based modelling of environmental variables: A systematic approach

Mathematical and Computer Modelling: An International Journal

Machine analysis and recognition of social contexts

Proceedings of the 14th ACM international conference on Multimodal interaction

Learning sequence neighbourhood metrics

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I

Observer effect from stateful resources in agent sensing

Autonomous Agents and Multi-Agent Systems