PREDICTIVE ANALYTICS with NEURAL NETWORKS Using MATLAB
Author | : Cesar Perez Lopez |
Publisher | : CESAR PEREZ |
Total Pages | : 239 |
Release | : 2020-09-06 |
ISBN-10 | : 9781716601569 |
ISBN-13 | : 1716601568 |
Rating | : 4/5 (568 Downloads) |
Download or read book PREDICTIVE ANALYTICS with NEURAL NETWORKS Using MATLAB written by Cesar Perez Lopez and published by CESAR PEREZ. This book was released on 2020-09-06 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events. Different work fields with neural networks and predictive analytics techniques are listed below: The multilayer perceptron (MLP), A radial basis function (RBF), Support vector machines (SVM), Fit regression models with neural networks, Time series neural networks, Hopfield and linear neural networks, Generalized regression and LVQ neural networks, Adaptative linear filters and non linear problems