Time Series Analysis with Neural Networks. Examples Across MATLAB
Author | : C. PEREZ |
Publisher | : Independently Published |
Total Pages | : 279 |
Release | : 2019-04-12 |
ISBN-10 | : 1093758759 |
ISBN-13 | : 9781093758757 |
Rating | : 4/5 (757 Downloads) |
Download or read book Time Series Analysis with Neural Networks. Examples Across MATLAB written by C. PEREZ and published by Independently Published. This book was released on 2019-04-12 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: MATLAB has the tool Neural Network Toolbox (Deep Learning Toolbox from version 18) that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control.The toolbox includes convolutional neural network and autoencoder deep learning algorithms for image classification and feature learning tasks. To speed up training of large data sets, you can distribute computations and data across multicore processors, GPUs, and computer clusters using Parallel Computing Toolbox.This book develops, through examples, the possibilities of working with neural networks to model and predict with time series.