文章基本信息

标题：Construction Cost Overturn Prediction Using Artificial Neural Network on Text and Numerical Data
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作者：Payal Singla ; Er. Mohit Kakkar
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：9
DOI：10.15680/IJIRCCE.2015. 0309024 8075
出版社：S&S Publications
摘要：Now-a-days, with the increase in technology every information is available on internet but sometimes it becomes difficult to find accurate information in short. There should be a proper path from where people can get information about the main thing what they want instead of long material. In this work we have studied construction cost overturn prediction on text and numerical data in a NLP to produce a prediction of the level o f cost overrun and under run using artificial neural network algorithms. Earlier model sho ws an average accuracy of 43.72% also creates a problem of redundancy and the work has been done by ensemble classifiers. After having this problem we have created a neural network that discusses how text can be processed, combined with numeric values then give the cost overturn with the accuracy of approx. 87% with improved performance and remove redundancy
关键词：prediction; accuracy; costoverturn; neuralnetwork;textmining;wordselection