Deep Learning in Time Series Analysis
portes grátis
Deep Learning in Time Series Analysis
Gharehbaghi, Arash
Taylor & Francis Ltd
04/2025
196
Mole
9781032418865
Pré-lançamento - envio 15 a 20 dias após a sua edição
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PREFACE. I-FUNDAMENTALS OF LEARNING. Introduction to Learning. Learning Theory. Pre-processing and Visualisation. II ESSENTIALS OF TIME SERIES ANALYSIS. Basics of Time Series. Multi-Layer Perceptron (MLP) Neural Networks for Time Series Classification. Dynamic Models for Sequential Data Analysis. III DEEP LEARNING APPROACHES TO TIME SERIES CLASSIFICATION. Clustering for Learning at Deep Level. Deep Time Growing Neural Network. Deep Learning of Cyclic Time Series. Hybrid Method for Cyclic Time Series. Recurrent Neural Networks (RNN). Convolutional Neural Networks. Bibliography.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Time-Growing neural network;Structural risk validation;Cyclic time series;Deep cyclic learning;Heart Sound Signal;Recurrent Neural Networks;Deep Learning Method;HMM.;Time Series Classification;Multi Layer Perceptron Neural Networks;Multidimensional Time Series;Support Vector Machine;Dynamic Time Warping;A-Test Method;Convolutional Layer;Stochastic Time Series;Input Time Series;Temporal Windows;HMM;Multilayer Neural Network;Time Series;Spectral Energies;Discrimination Power;TDNN;K-Fold Validation;Recurrent Networks;Reservoir Computing;ESNs
PREFACE. I-FUNDAMENTALS OF LEARNING. Introduction to Learning. Learning Theory. Pre-processing and Visualisation. II ESSENTIALS OF TIME SERIES ANALYSIS. Basics of Time Series. Multi-Layer Perceptron (MLP) Neural Networks for Time Series Classification. Dynamic Models for Sequential Data Analysis. III DEEP LEARNING APPROACHES TO TIME SERIES CLASSIFICATION. Clustering for Learning at Deep Level. Deep Time Growing Neural Network. Deep Learning of Cyclic Time Series. Hybrid Method for Cyclic Time Series. Recurrent Neural Networks (RNN). Convolutional Neural Networks. Bibliography.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Time-Growing neural network;Structural risk validation;Cyclic time series;Deep cyclic learning;Heart Sound Signal;Recurrent Neural Networks;Deep Learning Method;HMM.;Time Series Classification;Multi Layer Perceptron Neural Networks;Multidimensional Time Series;Support Vector Machine;Dynamic Time Warping;A-Test Method;Convolutional Layer;Stochastic Time Series;Input Time Series;Temporal Windows;HMM;Multilayer Neural Network;Time Series;Spectral Energies;Discrimination Power;TDNN;K-Fold Validation;Recurrent Networks;Reservoir Computing;ESNs
