A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multidimensional curve classification using passing—through regions
Pattern Recognition Letters - Special issue on pattern recognition in practice VI
Analysis and design of echo state networks
Neural Computation
Training Recurrent Networks by Evolino
Neural Computation
Trajectory generation and modulation using dynamic neural networks
IEEE Transactions on Neural Networks
A tighter bound for the echo state property
IEEE Transactions on Neural Networks
Gradient calculations for dynamic recurrent neural networks: a survey
IEEE Transactions on Neural Networks
Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing
Neural Processing Letters
Monostable Controllers for Adaptive Behaviour
SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats
Stable Output Feedback in Reservoir Computing Using Ridge Regression
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
MULTI-LAYER CORRECTIVE CASCADE ARCHITECTURE FOR ON-LINE PREDICTIVE ECHO STATE NETWORKS
Applied Artificial Intelligence
Short-term stock price prediction based on echo state networks
Expert Systems with Applications: An International Journal
Pruning and regularization in reservoir computing
Neurocomputing
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Echo-state-network-based real-time wind speed estimation for wind power generation
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Memory in linear recurrent neural networks in continuous time
Neural Networks
The introduction of time-scales in reservoir computing, applied to isolated digits recognition
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Event detection and localization in mobile robot navigation using reservoir computing
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
The application of echo state network in stock data mining
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
Stable trajectory generator: echo state network trained by particle swarm optimization
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Modular reservoir computing networks for imitation learning of multiple robot behaviors
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Real-time epileptic seizure detection on intra-cranial rat data using reservoir computing
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Journal of Computational Neuroscience
A neurodynamical model for working memory
Neural Networks
Intelligent stock trading system based on improved technical analysis and Echo State Network
Expert Systems with Applications: An International Journal
Pattern Recognition
Artificial Intelligence in Medicine
Recurrent kernel machines: Computing with infinite echo state networks
Neural Computation
Data-driven based model for flow prediction of steam system in steel industry
Information Sciences: an International Journal
Recurrent sparse support vector regression machines trained by active learning in the time-domain
Expert Systems with Applications: An International Journal
Simple deterministically constructed cycle reservoirs with regular jumps
Neural Computation
Survey: Reservoir computing approaches to recurrent neural network training
Computer Science Review
Estimating the non-linear dynamics of free-flying objects
Robotics and Autonomous Systems
Re-visiting the echo state property
Neural Networks
Neural Networks
Adaptive reservoir computing through evolution and learning
Neurocomputing
Self-organized reservoirs and their hierarchies
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Predicting time series of railway speed restrictions with time-dependent machine learning techniques
Expert Systems with Applications: An International Journal
Modular state space of echo state network
Neurocomputing
Proceedings of the Fourth Symposium on Information and Communication Technology
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Standard echo state networks (ESNs) are built from simple additive units with a sigmoid activation function. Here we investigate ESNs whose reservoir units are leaky integrator units. Units of this type have individual state dynamics, which can be exploited in various ways to accommodate the network to the temporal characteristics of a learning task. We present stability conditions, introduce and investigate a stochastic gradient descent method for the optimization of the global learning parameters (input and output feedback scalings, leaking rate, spectral radius) and demonstrate the usefulness of leaky-integrator ESNs for (i) learning very slow dynamic systems and replaying the learnt system at different speeds, (ii) classifying relatively slow and noisy time series (the Japanese Vowel dataset - here we obtain a zero test error rate), and (iii) recognizing strongly time-warped dynamic patterns.