Forecasting Markets Using Artificial Neural Networks (Bachelor's Thesis)

Published on July 2016 | Categories: Types, School Work | Downloads: 23 | Comments: 0 | Views: 256
of 67
Download PDF   Embed   Report

The ability to forecast markets has become a major factor contributingto the success of any enterprise in today’s business world. Byemploying a profitable prediction technique, a company can stay ahead ofthe game and thus gain a competitive edge on the market. The aim of thiswork is to investigate the forecasting capabilities of artificial neural networksin general, as well as provide some concrete guidelines that can be followedto effectively utilize their predictive potential. To approach this challengingobjective, we have designed and implemented a potent artificial neuralnetwork class library, whose ambition is to provide all necessary functionalityrequired in the process of choosing the ‘best’ forecasting model from all‘candidate’ models. On top of this library, a lightweight console applicationhas been built to automate the process of trying out and benchmarking thethese models. We have centered our experimentation around a typical economictime series containing trend and seasonal variations.

Comments

Content

Sponsor Documents

Or use your account on DocShare.tips

Hide

Forgot your password?

Or register your new account on DocShare.tips

Hide

Lost your password? Please enter your email address. You will receive a link to create a new password.

Back to log-in

Close