Keywords: سری زمانی پر هرج و مرج; Coevolution; Multi-task learning; Modular neural networks; Chaotic time series; Dynamic programming;
مقالات ISI سری زمانی پر هرج و مرج (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
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در صورتی که به ترجمه آماده هر یک از مقالات زیر نیاز داشته باشید، می توانید سفارش دهید تا مترجمان با تجربه این مجموعه در اسرع وقت آن را برای شما ترجمه نمایند.
Keywords: سری زمانی پر هرج و مرج; Interval prediction; Wind speed; Feature selection; Multiobjective optimization; Chaotic time series;
Keywords: سری زمانی پر هرج و مرج; Chaotic time series; Prediction; Wavelet transform; Multiple models; Fusion;
Keywords: سری زمانی پر هرج و مرج; Chaotic time series; Random matrix theory; Noise; Spectral distribution;
Keywords: سری زمانی پر هرج و مرج; Quantized kernel least-mean-square; Gradient descent method; Coefficient update; Chaotic time series;
Keywords: سری زمانی پر هرج و مرج; Time series forecasting; Dynamic selection; Chaotic time series; Time series forecasting ensemble;
Keywords: سری زمانی پر هرج و مرج; Chaotic time series; Lyapunov exponent; Stock market return; Active trading; BIST-100 index; Shenzen index
Keywords: سری زمانی پر هرج و مرج; Coherent mode; Chaotic time series; Empirical mode decomposition; Wavelet analysis; Bicoherency
Keywords: سری زمانی پر هرج و مرج; Short-term load forecast; Neural network; Chaotic time series; Feature selection; Reconstructed phase space; Differential Evolutionary
Keywords: سری زمانی پر هرج و مرج; Second order TSK; Chaotic time series; Fuzzy systems
A new wind speed forecasting strategy based on the chaotic time series modelling technique and the Apriori algorithm
Keywords: سری زمانی پر هرج و مرج; Wind energy; Forecasting; Chaotic time series; Apriori algorithm; Correction
Annealed cooperative–competitive learning of Mahalanobis-NRBF neural modules for nonlinear and chaotic differential function approximation
Keywords: سری زمانی پر هرج و مرج; Multilayer neural networks; Free energy function; Mixed integer programming; Mean field annealing; Long term prediction; Chaotic time series
Model selection for RBF network via generalized degree of freedom
Keywords: سری زمانی پر هرج و مرج; Radial basis function network; Generalized degree of freedom; Chaotic time series; Model selection
Chaotic time series prediction of E-nose sensor drift in embedded phase space
Keywords: سری زمانی پر هرج و مرج; Sensor drift; Chaotic time series; Long-term prediction; Phase space reconstruction; Radial basis function neural network
Hybrid adaptive wavelet-neuro-fuzzy system for chaotic time series identification
Keywords: سری زمانی پر هرج و مرج; Hybrid adaptive wavelet-neuro-fuzzy system; Learning algorithm; Chaotic time series; Identification; Prediction
An efficient cluster-based tribes optimization algorithm for functional-link-based neurofuzzy inference systems
Keywords: سری زمانی پر هرج و مرج; Neurofuzzy inference systems; Tribes optimization algorithm; Chaotic time series; Prediction
Nonlinear analysis using Lyapunov exponents in breast thermograms to identify abnormal lesions
Keywords: سری زمانی پر هرج و مرج; Chaotic time series; Lyapunov exponents; Time delay embedding; Breast; Cancer; Thermography
Estimation of Lyapunov spectrum and model selection for a chaotic time series
Keywords: سری زمانی پر هرج و مرج; Chaotic time series; Lyapunov spectrum; Local linear model; Polynomial model; Radial basis function model
Chaotic time series method combined with particle swarm optimization and trend adjustment for electricity demand forecasting
Keywords: سری زمانی پر هرج و مرج; Chaotic time series; Particle swarm optimization algorithm; Trend adjustment
ARFNNs with SVR for prediction of chaotic time series with outliers
Keywords: سری زمانی پر هرج و مرج; Chaotic time series; Fuzzy neural networks; Support vector regression; Annealing robust learning algorithm
Multi groups cooperation based symbiotic evolution for TSK-type neuro-fuzzy systems design
Keywords: سری زمانی پر هرج و مرج; Genetic algorithms; Symbiotic evolution; Chaotic time series; Neural fuzzy system
Nonlinear noise reduction of chaotic time series based on multidimensional recurrent LS-SVM
Keywords: سری زمانی پر هرج و مرج; Noise reduction; Chaotic time series; Support vector machine
Prediction and analysis of chaotic time series on the basis of support vector
Keywords: سری زمانی پر هرج و مرج; support vector machines; chaotic time series; prediction model; functionality;
A new scheme to predict chaotic time series of air pollutant concentrations using artificial neural network and nearest neighbor searching
Keywords: سری زمانی پر هرج و مرج; Chaotic time series; Neural networks; Nearest neighbor search; Air pollutant concentration
Long-term time series prediction with the NARX network: An empirical evaluation
Keywords: سری زمانی پر هرج و مرج; NARX neural network; Long-term prediction; Nonlinear traffic modeling; Chaotic time series; Recurrence plot
A new local linear prediction model for chaotic time series
Keywords: سری زمانی پر هرج و مرج; Local linear prediction; Chaotic time series; Model
Forecasting time series with a new architecture for polynomial artificial neural network
Keywords: سری زمانی پر هرج و مرج; Forecasting; Chaotic time series; Polynomial artificial neural network;
Fuzzy prediction of chaotic time series based on singular value decomposition
Keywords: سری زمانی پر هرج و مرج; Singular value decomposition; Recursive least square algorithm; Fuzzy clustering method; Chaotic time series
Dynamic reconstruction of chaotic systems from inter-spike intervals using least squares support vector machines
Keywords: سری زمانی پر هرج و مرج; Dynamic reconstruction; Chaotic time series; Least squares support vector machines
Prediction of a Lorenz chaotic attractor using two-layer perceptron neural network
Keywords: سری زمانی پر هرج و مرج; Chaotic time series; Multi-layer perceptron neural network; Neural Network based AR and ARMA model; System identification; Regularization;