期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2018
卷号：9
期号：4
页码：35-38
语种：English
出版社：Ayushmaan Technologies
摘要：Deep learning is a standard machine learning approach which has accomplished a hug of advancement with completely traditional machine learning in the domain of areas. The current issue centers around how to extract and classify the greatest, huge scale real dataset. Consequently, the task manages proposing a framework that can efficiently contribute a to a extremely proficient and precise capable prediction model. In the human health services domain: A point to point analysis of the patient records and patient live condition. Change and improvement of the existing frameworks by appending or replacing manual work with the utilization of huge data and information based artificial intelligence forms. Applying deep learning to these domains has been one among the prevalent points of research. The model given by us has the capability of maintaining high a long term accuracy. In case of an NDLCM network, a stacked NDLCM layer makes possible learning a high level temporal feature without any need of fine tuning and preprocessing that may otherwise be important in case of another technique. In this proposed paper, we construct a deep learning computational model which uses the normal back propagation neural network training set that helps to build a precise prediction model.
关键词：Deep Learning;Deep Neural Network;Internet of Things;IoT Big Data
