Title :
To predict possible profit/loss of a movie to be launched using MLP with back-propagation learning
Author :
Barman, D. ; Chowdhury, Nasirul ; Singha, R.K.
Author_Institution :
Dept. of Comput. Sci. & Eng., Jadavpur Univ., Kolkata, India
Abstract :
Film industry is the most important component of entertainment industry. Both profit and loss are very high for this business. Like every other business, business prediction system plays a vital role for this industry. Before release of a particular movie, if the Production Houses or distributors get any type of prediction that how the film will do business, then it will be very useful to reduce the risk of the investors. In this paper we have proposed a method using back propagation neural network for prediction about a given movie´s profitability. Note that, a similar such method has been successfully applied in the field of Stock Market Prediction, Weather Prediction and Image Processing.
Keywords :
backpropagation; entertainment; neural nets; profitability; MLP; back propagation neural network; backpropagation learning; entertainment industry; film industry; loss prediction; movie profitability; profit prediction; Artificial neural networks; Atomic layer deposition; Educational institutions; Propagation losses; Artificial Neural Network Back- Propagation Learning; Film Industry; Movie Genre;
Conference_Titel :
Communications, Devices and Intelligent Systems (CODIS), 2012 International Conference on
Conference_Location :
Kolkata
Print_ISBN :
978-1-4673-4699-3
DOI :
10.1109/CODIS.2012.6422203