A Method of Movie Business Prediction Using Back-propagation Neural Network | Zendy

Debaditya Barman | Zendy; Nirmalya Chowdhury | Zendy

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A Method of Movie Business Prediction Using Back-propagation Neural Network

Author(s) -

Debaditya Barman,

Nirmalya Chowdhury

Publication year - 2012

Publication title -

international journal of information technology and computer science

Language(s) - English

Resource type - Journals

eISSN - 2074-9015

pISSN - 2074-9007

DOI - 10.5815/ijitcs.2012.11.09

Subject(s) - stock market prediction , computer science , artificial neural network , profit (economics) , entertainment , film industry , stock market , entertainment industry , field (mathematics) , component (thermodynamics) , artificial intelligence , industrial engineering , data mining , art , paleontology , movie theater , physics , mathematics , horse , pure mathematics , art history , engineering , economics , visual arts , biology , microeconomics , thermodynamics

Film industry is the most important component of Entertainment industry. Profit and Loss both are very high for this business. Before release of a particular movie, if the Production House or distributors gets any type of prediction that how the film will do business, then it can be helpful to reduce the risk. In this paper we have proposed, back propagation neural network for prediction about the business of a movie. Note that, this method is successfully applied in the field of Stock Market Prediction, Weather Prediction and Image Processing.

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