RAINFALL FORECAST OF A SYNOPTIC STATION USING ARTIFICIAL NEURAL NETWORK
Published In: 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND COMMUNICATION
Author(s): HASAN ALMASI , SAEID FAZLI
Abstract: In this paper, we have utilized ANN (Artificial Neural Network) modeling for forecasting rainfall in Babolsar synoptic station in Iran. To achieve such a model, we have used daily rainfall data from 1978 to 2007 for the synoptic station. A Time Delay Series Neural Network is used in this work. Two hidden layers are considered for the neural network. Inputs are daily rainfall with variable lag to achieve optimal prediction. Using this method as a black box model, we have realized the hidden dynamics of rainfall through the past information of the system. Root Mean Square Error (RMSE) and Correlation Coefficient (r2) are evaluated for comparison purposes. Optimum delay days are calculated for rain forecasting which can be used in climatology application.
- Publication Date: 11-Oct-2015
- DOI: 10.15224/978-1-63248-064-4-05
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APPLICATION OF MEDICAL INFORMATICS IN ONLINE MEDICAL DATABASE SYSTEM AND INTERNATIONAL MEDICAL CARD USING SINGLE WINDOWS INFORMATION SERVICE SYSTEM IMCSWISS- A CASE STUDY OF ADVANCE ARCHITECTURE OF ONLINE MEDICAL DATABASE
Published In: 3RD INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, ELECTRONICS AND COMMUNICATION
Author(s): JITENDER SOLANKI
Abstract: The medical informatics is a combination of information technology and health care. It deals with the resources, devices, and methods to optimize the acquisition, storage, retrieval and use of information in medical science.It is also known as health informatics.
- Publication Date: 11-Oct-2015
- DOI: 10.15224/978-1-63248-064-4-06
- Views: 0
- Downloads: 0