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Found 2 essays matching the above criteria.
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1. Predicting Customer Churn Using Recurrent Neural Networks
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Churn prediction is used to identify customers that are becoming less loyal and is an important tool for companies that want to stay competitive in a rapidly growing market. In retail, a dynamic definition of churn is needed to identify churners correctly. Customer Lifetime Value (CLV) is the monetary value of a customer relationship. READ MORE
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2. A comparative study of hybrid artificial neural network models for one-day stock price prediction
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : Prediction of stock prices is an important financial problem that is receiving increased attention in the field of artificial intelligence. Many different neural network and hybrid models for obtaining accurate prediction results have been proposed during the last few years in an attempt to outperform the traditional linear and nonlinear approaches. READ MORE