International Journal of Intelligence Science

Volume 3, Issue 3 (July 2013)

ISSN Print: 2163-0283   ISSN Online: 2163-0356

Google-based Impact Factor: 0.58  Citations  

Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq

HTML  Download Download as PDF (Size: 530KB)  PP. 136-143  
DOI: 10.4236/ijis.2013.33015    6,950 Downloads   12,203 Views  Citations

ABSTRACT

There are few changes that took place in Iraqin many fields during the past few years; the financial aspect is one of the fields that undergone this change. The change has positive impact because it increases the revenue inIraqfrom the oil exports. The National Insurance Company is one of many companies that belongs to the Ministry of Finance inIraqand has affected directly from this change in term of increasing the number of the insurers which we will discuss in this research. The aim of this research is to forecast the insurance premiums revenue of the National Insurance Company between the years 2012 to 2053 using Artificial Neural Network based on the actual annual data of the insurance premiums revenue between the years 1970 to 2011. The data analyses results of this research show that the growth indicator of the insurance premiums revenue for the next 41 years is approximately 120%, the Mean Squared Error is the average squared difference between outputs and targets. Lower values are better. Zero means no error and the regression values are very high. The estimations and forecasts of the insurance premiums revenue using Artificial Neural Network confirmed to be strong and useful to deploy it for forecasting the insurance premiums revenue.

Share and Cite:

I. Bahia, "Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq," International Journal of Intelligence Science, Vol. 3 No. 3, 2013, pp. 136-143. doi: 10.4236/ijis.2013.33015.

Cited by

[1] Prediction of Anti-Inflammatory Activity of a Series of Pyrimidine Derivatives, by Multiple Linear Regression and Artificial Neural Networks
Computational …, 2022
[2] Forecasting premium adequacy to claim paid ratio in life insurance industry with COVID-19 effect using multilayer perceptron neural network
AIP Conference …, 2022
[3] Model basis of information and analytical security system of corporate business structures
2020
[4] Statistical Analysis and Impact Assesment of Techno logical Environment of Artificial Intelligence Environment in the Banking System of the RA.
2020
[5] MODELS OF FORECASTING IN THE MECHANISM OF EARLY INFORMING AND PREVENTION OF FINANCIAL CRISES IN CORPORATE SYSTEMS
2018
[6] State-of-the-art in artificial neural network applications: A survey
2018
[7] Models of estimation in the mechanism of early informing and prevention of financial crises in corporate systems
2018
[8] FORECASTING FERTILIZER SALES REVENUE USING FEED-FORWARD ARTIFICIAL NEURAL NETWORKS FOR A MEDIUM-SCALE FERTILIZER …
2018
[9] Modelling of the enterprise functioning stability using the automatic control theory apparatus
2017
[10] МОДЕЛИРОВАНИЕ УСТОЙЧИВОСТИ ФУНКЦИОНИРОВАНИЯ ПРЕДПРИЯТИЯ С ИСПОЛЬЗОВАНИЕМ АППАРАТА ТЕОРИИ АВТОМАТИЧЕСКОГО …
2017
[11] A Comparative Study of Zero-inflated, Hurdle and Artificial Neural Network Models in Claim Count Modeling
International Journal of Statistics and Systems [IJSS], 2017
[12] Modeling of the enterprise functioning stability using the automatic control theory apparatus
2017
[13] A Comparative Study of Zero-inflated, Hurdle Models with Artificial Neural Network in Claim Count Modeling
International Journal of Statistics and Systems [IJSS], 2017
[14] Моделирование устойчивости функционирования предприятия с использованием аппарата теории автоматического управления
2017
[15] Comparative performance for predictive modelling in motor insurance claims
2016
[16] Predictive Modelling for Motor Insurance Claims Using Artificial Neural Networks
International Journal of Advances in Soft Computing and its Applications, 2016
[17] Efficient Automatic Image Annotation using Weighted Feature Fusion and its Optimization using Genetic Algorithm
Communications on Applied Electronics, 2015
[18] Efficient Automatic Image Annotation Using Optimized Weighted Complementary Feature Fusion Using Genetic Algorithm
Procedia Computer Science, 2015
[19] Content Based Image Retrieval of User's Interest Using Feature Fusion and Optimization Using Genetic Algorithm: A Survey
International Journal of Computer Science and Information Technologies, 2014

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.