相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。An Augmented Echo State Network for Nonlinear Adaptive Filtering of Complex Noncircular Signals
Yili Xia et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)
Minimum Complexity Echo State Network
Ali Rodan et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2011)
LIBSVM: A Library for Support Vector Machines
Chih-Chung Chang et al.
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY (2011)
Robust Sequential Data Modeling Using an Outlier Tolerant Hidden Markov Model
Sotirios P. Chatzis et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2009)
Reservoir computing approaches to recurrent neural network training
Mantas Lukosevicius et al.
COMPUTER SCIENCE REVIEW (2009)
Gaussian process dynamical models for human motion
Jack M. Wang et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2008)
Generative modeling of autonomous robots and their environments using reservoir computing
Eric A. Antonelo et al.
NEURAL PROCESSING LETTERS (2007)
An experimental unification of reservoir computing methods
D. Verstraeten et al.
NEURAL NETWORKS (2007)
Optimization and applications of echo state networks with leaky-integrator neurons
Herbert Jaegera et al.
NEURAL NETWORKS (2007)
Support vector echo-state machine for chaotic time-series prediction
Zhiwei Shi et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2007)
A tighter bound for the echo state property
Michael Buchner et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2006)
Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication
H Jaeger et al.
SCIENCE (2004)
Real-time computing without stable states:: A new framework for neural computation based on perturbations
W Maass et al.
NEURAL COMPUTATION (2002)
Financial volatility trading using recurrent neural networks
P Tino et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2001)
Sparse Bayesian learning and the relevance vector machine
ME Tipping
JOURNAL OF MACHINE LEARNING RESEARCH (2001)