Practical method for determining the minimum embedding dimension of a scalar time series

Decreased chaos after exercise in cardiac output time series of rats: a preliminary report

Nonlinear Analysis: Real World Applications

Neural networks in astronomy

Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences

High-dimensional delay selection for regression models with mutual information and distance-to-diagonal criteria

Neurocomputing

A neuro fuzzy fechnique for modelling climatic variations in the Plio-Pleistocene

AMCOS'05 Proceedings of the 4th WSEAS International Conference on Applied Mathematics and Computer Science

Long-term time series prediction with the NARX network: An empirical evaluation

Neurocomputing

Predicting Epileptic Seizure by Recurrence Quantification Analysis of Single-Channel EEG

ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues

Novel Coupled Map Lattice Model for Prediction of EEG Signal

ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks

Trading strategy design in financial investment through a turning points prediction scheme

Expert Systems with Applications: An International Journal

Multi-step ahead direct prediction for the machine condition prognosis using regression trees and neuro-fuzzy systems

Expert Systems with Applications: An International Journal

Non-uniform attractor embedding for time series forecasting by fuzzy inference systems

Neurocomputing

Prediction of chaotic time series using neural network

NN'09 Proceedings of the 10th WSEAS international conference on Neural networks

A hybrid of nonlinear autoregressive model with exogenous input and autoregressive moving average model for long-term machine state forecasting

Expert Systems with Applications: An International Journal

Analysis of the Doppler signals using largest Lyapunov exponent and correlation dimension in healthy and stenosed internal carotid artery patients

Digital Signal Processing

Exploiting nonlinearity in adaptive signal processing

NOLISP'07 Proceedings of the 2007 international conference on Advances in nonlinear speech processing

Chaotic time series prediction with residual analysis method using hybrid Elman-NARX neural networks

Neurocomputing

Detection of seizures in EEG using subband nonlinear parameters and genetic algorithm

Computers in Biology and Medicine

Analysis of the Mobile Phone Effect on the Heart Rate Variability by Using the Largest Lyapunov Exponent

Journal of Medical Systems

Automatic classification of intrapartal fetal heart-rate recordings: can it compete with experts?

ITBAM'10 Proceedings of the First international conference on Information technology in bio- and medical informatics

Optimization for nonlinear time series and forecast for sleep

LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III

Transfer entropy--a model-free measure of effective connectivity for the neurosciences

Journal of Computational Neuroscience

A prediction of electrocardiography signals by combining ARMA model with nonlinear analysis methods

ACACOS'11 Proceedings of the 10th WSEAS international conference on Applied computer and applied computational science

Chaotic Bayesian optimal prediction method and its application in hydrological time series

Computers & Mathematics with Applications

Wind farm power prediction based on wavelet decomposition and chaotic time series

Expert Systems with Applications: An International Journal

Modelling of chaotic systems with recurrent least squares support vector machines combined with stationary wavelet transform

ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II

Monthly streamflow forecasting based on improved support vector machine model

Expert Systems with Applications: An International Journal

Ant colony optimization for determining the optimal dimension and delays in phase space reconstruction

Proceedings of the 13th annual conference on Genetic and evolutionary computation

Complexity changes in human wrist temperature circadian rhythms through ageing

IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I

Method for eliminating mode mixing of empirical mode decomposition based on the revised blind source separation

Signal Processing

A Short-Term Forecasting Algorithm for Network Traffic Based on Chaos Theory and SVM

Journal of Network and Systems Management

Using back propagation feedback neural networks and recurrence quantification analysis of EEGs predict responses to incision during anesthesia

ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II

Modelling of chaotic systems with recurrent least squares support vector machines combined with reconstructed embedding phase space

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I

Modeling and prediction of violent abnormal vibration of large rolling mills based on chaos and wavelet neural networks

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III

Applying multiple classifiers and non-linear dynamics features for detecting sleepiness from speech

Neurocomputing

Cooperative coevolution of Elman recurrent neural networks for chaotic time series prediction

Neurocomputing

Distinguish different acupuncture manipulations by using idea of ISI

LSMS'07 Proceedings of the 2007 international conference on Life System Modeling and Simulation

Model-based recognition of human actions by trajectory matching in phase spaces

Image and Vision Computing

Concurrent control chart patterns recognition with singular spectrum analysis and support vector machine

Computers and Industrial Engineering

A high dimensional delay selection for the reconstruction of proper phase space with cross auto-correlation

Neurocomputing

PoWER: prediction of workload for energy efficient relocation of virtual machines

Proceedings of the 4th annual Symposium on Cloud Computing

Modular state space of echo state network

Neurocomputing

Kernel based approaches to local nonlinear non-parametric variable selection

Automatica (Journal of IFAC)