Keywords: پیش بینی سری زمانی; Time series forecasting; Exponential smoothing; Weakening buffer operator; Grey prediction;
مقالات ISI پیش بینی سری زمانی (ترجمه نشده)
مقالات زیر هنوز به فارسی ترجمه نشده اند.
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.
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: پیش بینی سری زمانی; Deep learning; Data fusion; Cross modality learning; Time series forecasting; Textual data; Taxi demand; Special events; Urban mobility;
Keywords: پیش بینی سری زمانی; Time series forecasting; Machine learning; Variability; ARMA; ANN; Regression tree; Gaussian process; SVR;
Keywords: پیش بینی سری زمانی; Continuous glucose monitoring (CGM); Differential evolution (DE); Support vector regression (SVR); Time series forecasting; Type 1 diabetes (T1D);
Keywords: پیش بینی سری زمانی; Artificial Neural Networks (ANN); Type 1 Diabetes (T1D); Continuous Glucose Monitoring (CGM); Prediction Horizon (PH); Time series forecasting;
Keywords: پیش بینی سری زمانی; Energy efficiency; Neural networks; Time series forecasting; Evolutionary algorithm; ANN; Artificial Neural Network; ARIMA; Auto-Regressive Integrated Moving Average; ENN; Elman Neural Network; GA; Genetic Algorithm; LM; Levenberg-Marquadt; MA; Memetic
Keywords: پیش بینی سری زمانی; Time series forecasting; Machine learning; Black-box model; ARX model; ARMAX model; Overheating;
Keywords: پیش بینی سری زمانی; Ensemble learning; Evolutionary algorithms; Multi-objective optimization; Time series forecasting; Power transformers;
Keywords: پیش بینی سری زمانی; TSF; time series forecasting; NN; neural networks; ANN; artificial neural networks; CNN; convolutional neural networks; FV; fish vector; SVM; support vector machine; PReLU; parametric rectified linear unit; HR; highway rectifier; WS; wind speeds; EMD; emp
Keywords: پیش بینی سری زمانی; Time series forecasting; Sparse coding; Local learning; Machine learning;
Keywords: پیش بینی سری زمانی; Wind speed; Hybrid forecasting approach; Wind farm; Machine learning; Singular Spectrum Analysis; Neuro fuzzy inference system; Time series forecasting;
Keywords: پیش بینی سری زمانی; Time series forecasting; forecast combination; artificial neural networks;
Keywords: پیش بینی سری زمانی; Empirical Mode Decomposition; Discrete wavelet transform; Random Vector Functional Link network; Incremental learning; Time series forecasting; Electric load forecasting; Neural networks; Random forests;
Keywords: پیش بینی سری زمانی; Stochastic processes; Sea surface elevation; Time series forecasting; ARMA model; Wave energy;
Keywords: پیش بینی سری زمانی; Container throughput; Data characteristic analysis; Model selection; Time series forecasting; Decomposition-ensemble methodology;
Keywords: پیش بینی سری زمانی; Building energy; Time series forecasting; Energy forecasting; Machine learning; Hybrid models;
Keywords: پیش بینی سری زمانی; Perturbation theory; Time series forecasting; Combination of forecasts; Artificial neural networks;
Keywords: پیش بینی سری زمانی; Autoregressive process; Hilbert space embeddings; cross-covariance operator; time series forecasting;
Keywords: پیش بینی سری زمانی; Time series forecasting; Processing; Artificial neural networks; Interval; Energy prediction; Stationarity;
Keywords: پیش بینی سری زمانی; Time Series Forecasting; Short Term Forecasting; MCMR; Support Vector Machines; Regression; Neural Networks;
Keywords: پیش بینی سری زمانی; Time series forecasting; Spatio-temporal clustering; Multivariate time series analysis;
Keywords: پیش بینی سری زمانی; Ensemble learning; Time series forecasting; Oblique random forest; Neural networks; Support vector regression;
Keywords: پیش بینی سری زمانی; Time series forecasting; Model free forecasting; Artificial neural networks; ARMA; Kalman filter;
Keywords: پیش بینی سری زمانی; Empirical Mode Decomposition; Deep learning; Ensemble method; Time series forecasting; Load demand forecasting; Neural networks; Support vector regression; Random forests;
Keywords: پیش بینی سری زمانی; Time series forecasting; Hybrid intelligent systems
Keywords: پیش بینی سری زمانی; Call center arrivals; Time series forecasting; Seasonal average; Univariate methods; Artificial neural networks; Forecast combination;
Keywords: پیش بینی سری زمانی; Time series forecasting; Granular computing; Soft computing; Data mining; Bayesian methods; Linguistic summaries
Keywords: پیش بینی سری زمانی; Time series forecasting; MLMVN Neural Networks; Oil production
Keywords: پیش بینی سری زمانی; Bootstrap; Granger Causality; Lasso; Sentiment surveys; Time series forecasting;
Keywords: پیش بینی سری زمانی; Time series forecasting; Theta method; State Space Models; M3-Competition; Combination;
Keywords: پیش بینی سری زمانی; Lasso; Reduced rank regression; Sparse estimation; Time series forecasting; Vector error correction model;
Keywords: پیش بینی سری زمانی; Building energy consumption; Time series forecasting; Recommendation system; Machine learning; Meta-learning; Feature reduction;
Keywords: پیش بینی سری زمانی; Random weights; Random vector functional link; Neural network; Time series forecasting; Electricity load demand forecasting;
Keywords: پیش بینی سری زمانی; Time series forecasting; Dynamic selection; Chaotic time series; Time series forecasting ensemble;
Keywords: پیش بینی سری زمانی; Popularity prediction; Viral topics; Time series forecasting; Viral topic behavior;
Keywords: پیش بینی سری زمانی; Electrical power system; Time series forecasting; Fast ensemble empirical mode decomposition; Modified particle swarm optimization; Improved simulated annealing; Forecasting validity degree;
Keywords: پیش بینی سری زمانی; Time series forecasting; Input variable selection; Genetic programming; Partial mutual information; Correlation
Keywords: پیش بینی سری زمانی; Time series forecasting; Back propagation neural network; Differential evolution algorithm
Keywords: پیش بینی سری زمانی; Reliability prediction; Time series forecasting; Support vector regression; Parameter selection; Analytic selection; Genetic algorithms
Keywords: پیش بینی سری زمانی; Time series forecasting; Forecasting accuracy; Combining forecasts; Weights selection; Artificial neural networks
Keywords: پیش بینی سری زمانی; Predictive policing; Time series forecasting; Police Districting Problem; Multi-criteria decision-making; Decision Support Systems
Keywords: پیش بینی سری زمانی; Granular computing; Binning-based partition; Entropy-based discretization; Time series forecasting
Keywords: پیش بینی سری زمانی; Local linear neuro-fuzzy model; Singular spectrum analysis; Particle swarm optimization; Time series forecasting
Keywords: پیش بینی سری زمانی; Algorithm portfolio; Algorithm selection problem; Time series forecasting; Power generation capacity; Wind turbines
Keywords: پیش بینی سری زمانی; Hankel matrix; Time series forecasting; Algebraic sequence; Evolutionary algorithms
Keywords: پیش بینی سری زمانی; Time series forecasting; Feed-forward neural network; ARIMA model; Flow coefficient regime; Urmia lake basin
Keywords: پیش بینی سری زمانی; Energy efficiency; Time series forecasting; Bayesian models; Gradient descent; Artificial neural networks
Keywords: پیش بینی سری زمانی; Reservoir computing; Echo state networks; Neural computing; Time-delay reservoir; Time series forecasting; Universality; VEC-GARCH model; Volatility forecasting; Realized volatility; Parallel reservoir computing
Keywords: پیش بینی سری زمانی; time series forecasting; oil production prediction; NARX neural networks; naturally fractured reservoirs
Keywords: پیش بینی سری زمانی; Efficiency measure; Fitness Function; Data Envelopment Analysis; Time series forecasting; Artificial Neural Networks; Evolutionary Strategy; Hybrid Intelligent Systems; Optimization