基于決策樹和SVM的企業(yè)財務風險分析系統(tǒng)
發(fā)布時間：2018-07-26 15:38
【摘要】：隨著市場經(jīng)濟的不斷發(fā)展,企業(yè)在行業(yè)內(nèi)的競爭愈發(fā)激烈,許多企業(yè)的財務狀況頻頻陷入困境,財務風險使得企業(yè)的平穩(wěn)發(fā)展面臨著越來越嚴重的挑戰(zhàn)。本文聯(lián)合應用主成分分析與機器學習算法,開發(fā)了企業(yè)財務風險分析系統(tǒng)。旨在提高企業(yè)的財務管理水平,把企業(yè)潛在的財務風險揭示出來,從源頭阻止企業(yè)財務危機的發(fā)生,解決當下亟待的熱點問題。本文通過分析前人研究和閱讀大量文獻資料,總結風險分析領域研究成果的優(yōu)點和不足,在此基礎上對SVM算法先做PCA降維,然后應用決策樹和SVM完成財務風險分析,并從財務管理和財務風險分析兩大方面完成財務風險分析系統(tǒng)的設計與實現(xiàn)。本文的研究內(nèi)容主要分為六個部分。第一部分緒論,首先介紹本研究的提出背景和現(xiàn)實意義,然后介紹當前國內(nèi)外研究現(xiàn)狀以及本文主要研究內(nèi)容和結構,第二部分相關技術,主要介紹財務風險指標體系的構建和本文用于風險分析研究的相關技術:主成分分析、支持向量機、決策樹等,在Eclipse平臺上用Java語言編程實現(xiàn)該系統(tǒng)。第三部分系統(tǒng)需求分析,從功能和非功能兩方面對本系統(tǒng)進行需求分析。第四部分系統(tǒng)設計,介紹了本文系統(tǒng)的總體設計和詳細設計,包括系統(tǒng)總體設計、模塊設計及財務管理數(shù)據(jù)庫設計等。第五部分系統(tǒng)實現(xiàn)與測試,根據(jù)前面的設計完成企業(yè)財務風險分析系統(tǒng)實現(xiàn),然后對系統(tǒng)做了簡單的測試,通過實例測試驗證各模塊及風險分析性能。第六部分總結和展望,從工作總結和研究展望兩方面對財務風險分析研究給出工作建議及下一步研究方向。
[Abstract]:With the continuous development of the market economy, the competition of enterprises in the industry is becoming more and more intense, and the financial situation of many enterprises is in a difficult position. The financial risk makes the smooth development of the enterprise facing more and more serious challenges. This paper has developed the enterprise financial risk analysis system with the application of principal component analysis and machine learning algorithm. The financial management level of the high enterprise reveals the potential financial risks of the enterprise, prevents the occurrence of the financial crisis from the source and solves the hot issues urgently needed at the moment. This paper analyzes the advantages and disadvantages of the research results in the field of risk analysis by analyzing the predecessors and reading a large number of documents, and on this basis, the SVM algorithm is made PC first. A reduces the dimension, then uses the decision tree and SVM to complete the financial risk analysis, and completes the design and implementation of the financial risk analysis system from two aspects of financial management and financial risk analysis. The research content of this paper is divided into six parts. First part of the introduction, first introduces the background and practical significance of the research, and then introduces the current country. The present situation of internal and external research and the main research content and structure of this paper, second parts related technology, mainly introduce the construction of the financial risk index system and the related technologies used in the research of risk analysis: principal component analysis, support vector machine, decision tree and so on. The system is realized by Java language programming on the Eclipse platform. The third parts of the system need to be implemented. Analyze the system from two aspects of function and non function. Fourth parts of the system design, introduce the overall design and detailed design of this system, including the overall system design, module design and financial management database design. Fifth parts of the system implementation and testing, according to the previous design to complete the financial risk of the enterprise The system is implemented, and then the system is tested, and the performance of each module and risk analysis is verified through the case test. The sixth part summarizes and looks forward to the two aspects of the work summary and research prospect, and gives the suggestions and the next research direction of the financial risk analysis.
【學位授予單位】：山東師范大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP311.52
本文編號：2146481
[Abstract]:With the continuous development of the market economy, the competition of enterprises in the industry is becoming more and more intense, and the financial situation of many enterprises is in a difficult position. The financial risk makes the smooth development of the enterprise facing more and more serious challenges. This paper has developed the enterprise financial risk analysis system with the application of principal component analysis and machine learning algorithm. The financial management level of the high enterprise reveals the potential financial risks of the enterprise, prevents the occurrence of the financial crisis from the source and solves the hot issues urgently needed at the moment. This paper analyzes the advantages and disadvantages of the research results in the field of risk analysis by analyzing the predecessors and reading a large number of documents, and on this basis, the SVM algorithm is made PC first. A reduces the dimension, then uses the decision tree and SVM to complete the financial risk analysis, and completes the design and implementation of the financial risk analysis system from two aspects of financial management and financial risk analysis. The research content of this paper is divided into six parts. First part of the introduction, first introduces the background and practical significance of the research, and then introduces the current country. The present situation of internal and external research and the main research content and structure of this paper, second parts related technology, mainly introduce the construction of the financial risk index system and the related technologies used in the research of risk analysis: principal component analysis, support vector machine, decision tree and so on. The system is realized by Java language programming on the Eclipse platform. The third parts of the system need to be implemented. Analyze the system from two aspects of function and non function. Fourth parts of the system design, introduce the overall design and detailed design of this system, including the overall system design, module design and financial management database design. Fifth parts of the system implementation and testing, according to the previous design to complete the financial risk of the enterprise The system is implemented, and then the system is tested, and the performance of each module and risk analysis is verified through the case test. The sixth part summarizes and looks forward to the two aspects of the work summary and research prospect, and gives the suggestions and the next research direction of the financial risk analysis.
【學位授予單位】：山東師范大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP311.52
【參考文獻】
相關期刊論文 前10條
1 曾媛媛;;基于決策樹和支持向量機在公司財務風險評估中的應用[J];科技經(jīng)濟市場;2013年09期
2 于文華;岳焱;;制造業(yè)上市公司財務危機預警指標預處理研究[J];浙江金融;2011年04期
3 聶麗潔;趙艷芳;高一帆;;基于現(xiàn)金流的財務危機預警指標體系構建研究——基于我國制造業(yè)上市公司數(shù)據(jù)[J];經(jīng)濟問題;2011年03期
4 盧永艷;王維國;;基于財務狀況多分類的上市公司財務危機預警[J];數(shù)學的實踐與認識;2011年04期
5 張華倫;孫毅;;企業(yè)財務危機預警Rough-Fuzzy-ANN模型的建立及應用[J];運籌與管理;2006年02期
6 惠守博;王文杰;;基于支持向量機的財務預警模型與應用研究[J];計算機工程與設計;2006年07期
7 劉紅霞,張心林;以主成分分析法構建企業(yè)財務危機預警模型[J];中央財經(jīng)大學學報;2004年04期
8 吳世農(nóng),盧賢義;我國上市公司財務困境的預測模型研究[J];經(jīng)濟研究;2001年06期
9 楊保安,季海,徐晶,溫金祥;BP神經(jīng)網(wǎng)絡在企業(yè)財務危機預警之應用[J];預測;2001年02期
10 周首華,楊濟華,王平;論財務危機的預警分析——F分數(shù)模式[J];會計研究;1996年08期
相關碩士學位論文 前3條
1 劉艷;我國中小企業(yè)上市公司財務危機預警方法研究及實現(xiàn)[D];西南財經(jīng)大學;2013年
2 尤雨佳;國有上市公司財務風險預警模型及應用研究[D];重慶大學;2012年
3 張慶芳;財務預警在企業(yè)信用評估中的應用研究[D];山西財經(jīng)大學;2012年
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