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PREDICTIVE ANALYTICS WITH NEURAL NETWORKS USING MATLAB
CESAR PEREZ LOPEZ
出版CESAR PEREZ, 2020-09-06
主題Computers / Business & Productivity Software / SpreadsheetsMathematics / Probability & Statistics / General
ISBN17166015689781716601569
URLhttp://books.google.com.hk/books?id=fzLBEAAAQBAJ&hl=&source=gbs_api
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註釋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