Publisher description
Predictive models and analysis are typically used to forecast future probabilities. Applied to business, predictive models are used to analyze current data and historical facts in order to better understand customers, products and partners and to identify potential risks and opportunities for a company. It uses a number of techniques, including data mining, statistical modeling and machine learning to help analysts make future business forecasts. Among the most interesting predictive models are the neural networks. MATLAB implementrs the Neural Network Toolbox (Deep Learning Toolbox from release 18) specialized in the techniques of analytics based on neural networks. Throughout this book the techniques of analytics based on neural networks are developed using MATLAB software and in concrete Neural Network Toolbox. The Neural Network Toolbox software uses the network object to store all of the information that defines a neural network
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Neural Networks And Applications: Functions Fitting, Cluster Data, Patterns, And Time Series
Book reviews » Neural Networks And Applications: Functions Fitting, Cluster Data, Patterns, And Time Series
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