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The Insurance Industry Security Warning Study Based on BP Neural Network
Author: CaoLing
Tutor: GongYuRong
School: Beijing Jiaotong University
Course: Statistics
Keywords: Insurance Industrial security Industrial safety warning Principal Component Analysis Neural Networks
CLC: F224
Type: Master's thesis
Year: 2011
Downloads: 106
Quote: 0
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Abstract
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Abstract: The insurance business is involved in all walks of life, thousands of families, has a strong public and social. In the modern economy, the role of insurance is expanding its scope, has become an important content of the national economy. Insurance modern economic stability, stabilizer, economic and social crisis will be more severe and frequent. Through research and the establishment of the Insurance Industry and Security warning mechanism related indicators data changes at any time observation and analysis, management of the risks that may occur prior to avoid the adverse impact of the crisis on national economies, to ensure the country to prevent and defuse the risk of the occurrence of economy stable and healthy development has important practical significance. Based on the perspective of the industry to study the safety of China's Insurance Industry. The paper first comprehensive research of scholars in the three aspects of industrial safety, industrial safety, early warning, and the Insurance Industry and Security, and put forward the research content; followed by industrial safety warning systems and early warning model introduced mainly on what warning systems, early warning function of the system, the principle of the establishment of the early warning system, and the establishment of early warning systems step; comparative analysis of several existing early warning model, BP neural network early-warning model and highlights. Then constructed based on the unique characteristics of the insurance industry and the results of previous studies, the index system security early warning of an Insurance industry analysis and principal component analysis on the safety of the Insurance industry; Next, according to the data of the insurance industry in 2000 - 2008 evaluation, based on principal component analysis and test results with BP artificial neural network for early warning, and thus the safety of China's Insurance Industry; the warning results show that industry security level of the insurance industry in China in 2009 as a \industry, industrial control, premium income as well as the premium funds use three categories of factors. Therefore, in order to enhance the security of China's Insurance Industry, should strengthen the control and management of foreign investment, and strive to improve the control of the Insurance Industry; to strengthen insurance product innovation to meet the potential demand for insurance market, enhance insurance coverage, raise premiums income; broaden the use of funds channels, improve the professional level of insurance funds, obtain higher investment returns.
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CLC: > Economic > Economic planning and management > Economic calculation, economic and mathematical methods > Economic and mathematical methods
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