Learning and evolution in neural networks
Adaptive Behavior
Efficient reinforcement learning through symbiotic evolution
Machine Learning - Special issue on reinforcement learning
Neural Computation
Evolutionary Neural Networks for Nonlinear Dynamics Modeling
PPSN V Proceedings of the 5th International Conference on Parallel Problem Solving from Nature
Solving Non-Markovian Control Tasks with Neuro-Evolution
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Learning to Forget: Continual Prediction with LSTM
Neural Computation
Evolutionary induction of sparse neural trees
Evolutionary Computation
Evolino: hybrid neuroevolution / optimal linear search for sequence learning
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
IEEE Transactions on Neural Networks
A new evolutionary system for evolving artificial neural networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
LSTM recurrent networks learn simple context-free and context-sensitive languages
IEEE Transactions on Neural Networks
Training Recurrent Networks by Evolino
Neural Computation
Predictive Modeling with Echo State Networks
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Dynamic Factor Graphs for Time Series Modeling
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part II
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Existing Recurrent Neural Networks (RNNs) are limited in their ability to model dynamical systems with nonlinearities and hidden internal states. Here we use our general framework for sequence learning, EVOlution of recurrent systems with LINear Outputs (Evolino), to discover good RNN hidden node weights through evolution, while using linear regression to compute an optimal linear mapping from hidden state to output. Using the Long Short-Term Memory RNN Architecture, Evolino outperforms previous state-of-the-art methods on several tasks: 1) context-sensitive languages, 2) multiple superimposed sine waves.