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To predict possible profit/loss of a movie to be launched using MLP with back-propagation learning

机译:预测将使用MLP和反向传播学习技术发行的电影的可能损益

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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.
机译:电影业是娱乐业最重要的组成部分。这项业务的损益都很高。与其他所有业务一样,业务预测系统对该行业也起着至关重要的作用。在发行特定电影之前,如果制片公司或发行人获得有关该电影将如何开展业务的任何类型的预测,那么这对于降低投资者的风险将非常有用。在本文中,我们提出了一种使用反向传播神经网络来预测给定电影获利能力的方法。注意,类似的这样的方法已经成功地应用于股票市场预测,天气预报和图像处理领域。

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