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研究生:嚴仕偉
研究生(外文):Yen, Shih-Wei
論文名稱:整合類神經網路與資料採礦於金融最佳決策代理系統之規劃與設計
論文名稱(外文):Integration of Neural Network and Data Mining for Financial Optimization Decision Agent
指導教授:陳安斌陳安斌引用關係
指導教授(外文):Advisor: Chen, An-Pin
學位類別:碩士
校院名稱:國立交通大學
系所名稱:資訊管理研究所
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2006
畢業學年度:94
語文別:中文
論文頁數:108
中文關鍵詞:金融實驗專家系統資料採礦最佳化代理人系統
外文關鍵詞:Financial ExperimentExpert SystemData MiningOptimizationAgent System
相關次數:
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自發明計算機開始,人工智慧的研究範圍就不斷擴大,隨之衍生出來的技術與知識更是不斷的創新,然而這麼多的技術需要妥善的整合才能發揮最好的效果,如同大腦的運作,腦細胞間必須各自分工彼此合作,才能具有學習、聯想、思維、判斷與決策等等複雜的功能。
透過人工智慧技術的截長補短,使其產生較為理想的決策結果,因此本文提出的模式是整合性的架構,重點在整合類神經網路與資料採礦等技術,並應用於設計金融最佳化決策代理系統。

關鍵字:金融實驗、專家系統、資料採礦、最佳化、代理人系統
Since the Computer invented, the research field of artificial intelligence is continually expanding and the innovation technology and knowledge of computer keeping development. However, the technology must be integer to produce the proper result. Operation like the brain, must cooperate for complicated capability of study, association, thinking, and decision etc.
Through the complementation of the artificial intelligence technology, batter decision result is made. So, in this study the integration framework, it suggests that technology, for application to design the financial optimization decision agent System. Should be integrated by using neural network and data system.

Key word:Financial Experiment, Expert System, Data Mining, Optimization, Agent System
摘 要……………………………………………...………………………………... i
目 錄…………………………………………..…………………………………... ii
圖 目 錄…………………………………………………..…………………………... v
表 目 錄…………………..…………………………………………………………... vii

壹、導論………………….....……………...…..………………………………………... 01
一、 研究動機……………………………………………………………………... 01
二、 研究目的……………………………………………………………………... 01
三、 論文架構……………………………………………………………………... 02
四、 研究架構……………………………………………………………………... 03
五、 研究範圍……………………………………………………………………... 04

貳、文獻探討……..………………….…………………………………………………... 05
一、 專家系統……………………………………………………………………... 05
(一)專家系統之定義………………..……………………………………….. 05
(二)專家系統之內容……………..………………………………………….. 06
(三)專家系統之應用………………..……………………………………….. 07
二、 案例式推論…………………………………………………………………... 08
(一)案例式推論之理論…….…..…………………………………………….. 08
(二)案例式推論的流程…...………………………………………………….. 09
(三)案例式推論的應用…………..………………………….……………….. 10
三、 類神經網路…………………………………………………………………... 11
(一)類神經網路概述…...…………………………………………………….. 11
(二)倒傳遞網路概述…...…………………………………………………….. 11
(三)倒傳遞網路原理……….…..…………………………………………….. 13
四、 資料採礦……………………………………………………………………... 16
(一)資料採礦之概述………...……………………………………………….. 16
(二)資料採礦的架構…………………………………………………………. 17
五、 全域最佳化…………………………………………………………………... 18
(一)最佳化問題概述…………………………………………………………. 18
(二)全域最佳化概述……………....…………………………...…………….. 18
(三)線性最佳化技術…………...…….………………………………………. 19

参、研究方法…………..…..…………………………………………………………… 20
一、 資料探勘方法………………………………………………………………... 20
(一)探勘模式概述...………………………………………………………….. 20
(二)資料來源探勘.………………..………………………………………….. 21
(三)知識擷取模式….…………..…………………………………………….. 22
(四)本體論之模式…………...……………………………………………….. 24
(五)企業實體方法….………..……………………………………………….. 26
二、 市場預測方法……………………………………………............................... 28
(一)市場預測模組架構……...……………………………………………….. 28
(二)技術指標方法概述….…..……………………………………………….. 29
(三)指標資訊化之方法.……..……………………………………………….. 32
(四)法則知識化之方法.……..……………………………………………….. 33
(五)市場預測推論方法….…..……………………………………………….. 35
三、 評價推論方法………………………………………………………………... 36
(一)評價模式.……..………………………………………………………….. 36
(二)推論機制…………………………………………………………………. 37
(三)評價修正…………………………………………………………………. 38
(四)企業評價…………………………………………………………………. 39
(五)產業分析…………………………………………………………………. 42
四、 最佳決策法…………………………………………………………………... 44
(一)最佳化模式………………………………………………………………. 44
(二)狀態預估法………………………………………………………………. 45
(三)決策制定法………………………………………………………………. 48
(四)最佳化模型………………………………………………………………. 50
(五)最佳化解法………………………………………………………………. 53
五、 金融實驗法…………………………………………………………………... 55
(一)金融實驗模式……………………………………………………………. 55
(二)投資策略模擬……………………………………………………………. 56
(三)投資績效計算……………………………………………………………. 57
(四)投資決策容器……………………………………………………………. 58
(五)實驗結果處理……………………………………………………………. 59

肆、實作與評估…………………………………………………………………………. 60
一、 系統設計………………………………………………………...…………… 60
(一)資料採礦模組……………………………………………………………. 60
(二)市場預估模組……………………………………………………………. 61
(三)企業評價模組……………………………………………………………. 63
(四)最佳決策模組……………………………………………………………. 66
(五)金融實驗模組……………………………………………………………. 67
二、 金融實驗……………………………………………………………………... 68
(一)實驗設計說明……………………………………………………………. 68
(二)投資策略設計……………………………………………………………. 68
(三)實驗系統操作………………………………………………………….… 71
(四)實驗資料統計………………………………………………………….… 73
(五)系統績效評估………………………………………………………….… 78

伍、結論與建議………………………………………………………………………… 79

致 謝………………………………………………………………………………… I
參考文獻………………………………………………………………………………… II
附錄A、系統程式碼………………………………………………………………… VII
附錄B、檔案內容…………………………………………………………………… XIV
附錄C、系統與實驗……………………………………………..………………….. XVIII
吳大猷,古典動力學,聯經出版事業公司,1990年。
陳安斌,2002,財務金融資訊管理與投資決策,寶�硌穈T股份有限公司。
陳安斌,2005,新金融實驗教學之財務金融資訊系統與投資管理,新陸書局股份有限公司。
國立交通大學虛擬交易所,http://140.113.31.203/default_ch.htm。
嚴仕偉,2003,C++ Builder 程序員學習數據結構,人民郵電出版社。

Aamodt A. and Plaza, E., “Case-Based Reasoning Foundational Issues Methodological Variations, and System Approaches”, AI Communication, Vol.7, 1994, pp39-59.
Abecker, A. Bernardi, K. Hinkelmann, O. K. hn, and M. Sintek, “Context-Aware, Proactive Delivery of Task-Specific Information: The KnowMore Project”, Information Systems Frontiers 2:3/4, 2000, pp:253-276.
Abeyratna, G and David, M. P. “The profitability of moving Average trading rules in south asian stock markers”, Emerging Markers Review 2001, pp:17-33.
Abhijit, G., Simulation-Based Optimization: Parametric Optimization Techniques and Reinforcement Learning , Kluwer Academic Publishers, 2003.
Adriaans, P. and Zantinge, D., Data Mining, Addison-Wesley, 1996.
Alani, H., Sanghee, K., Millard, D.E., Weal, M.J., Hall, W., Lewis, P.H., Shadbolt, N.R., “Automatic ontology-based knowledge extraction from Web documents”, IEEE Intelligent Systems, Volume:18, Issue:1, Jan/Feb 2003, pp.14-21
Andrew P. Armacost, C. B., Keith, A., Ware, A., Wilson, M., “UPS Optimizes Its Air Network”, INTERFACES ,Vol. 34, No. 1, January–February 2004, pp:5–25.
Armacost, A. P., Cynthia, B., Keith A. W., “Composite variable formulations for express shipment service network design”. Transportation Sci. 2002, pp:36(1) 1–20.
Benjamin, G. and Warren, E. B., The intelligent investor, the classic bestseller on value investing, New York, HarperCollins, 1984.
Benson, H. P., “Using concave envelopes to globally solve the nonlinear sum of rations problem”, Journal of Global Optimization 22: , 2002, pp:343-364.

Berry, M. J. A. and Linoff, G. S., Data Mining Techniques:For Marketing, Sales, And Customer Support, John Wiley & Sons Inc., 1997.
Brocklebank, J. C. and Dickey, D. A., SAS for forecasting time series, Cary, NC: SAS Institute, Hoboken, N.J.: John Wiley, 2003.
Brown, G., Keegan, J., Vigus, B., Kevin, W., “The Kellogg Company Optimizes Production, Inventory, and Distribution”, INTERFACES 31: 6 November–December 2001, pp.:1-15..
Bunge. M., Ontology I: The Furniture of the World, Treatise on Basic Philosophy, Vol. 3, 1977.
Chelst, K., Sidelko, J., Przebienda, A., Lockledge, J., Mihailidis, D., “Rightsizing and Management of Prototype Vehicle Testing at Ford Motor Company”, INTERFACES 31: 1, 2001, pp: 91-107.
Chen, Z. Data Mining And Uncertain Reasoning:An Integrated Approach, John Wiley & Sons Inc., 2001.
Christodoulos A. F., Deterministic Global Optimization: Theory, Methods and Applications, Kluwer Academic Publishers, 2000.
Copeland, T., Koller, T., Murrin, J., VALUATION: Measuring and Managing the value of Companies, John Wiley & Sons, Inc, 1994.
Dretske, F., Knowledge and the Flow of Information, Cambridge, MA, MIT Press, 1981.
Fayyad, U. M., “Data Mining and Knowledge Discovery:Making Sense out of Data”, IEEE Expert, Vol.11, No.5, October 1996, pp:20-25.
Feigenbaum, E. A., Knowledge Engineering in The 1980s, Dept. of Computer Science, Stanford University, Stanford, CA,1982.
Fensel. D., Harmelen, F. V., Horrocks, I. D., McDuinness, L. and Patel-Schneider, P. F., “OIL: An Ontology Infrastructure for the Semantic Web”, IEEE Intelligent System, Vol. 16, No.2, 2001 , pp:38-45.
Fensel, D., “Ontologies: A Silver Bullet for Knowledge Management and Electronic Comerce, Springer”, German, 2000, pp: 12-13.
Fox, R. W. and McDonald, A. T., Introduction to fluid mechanics, New York, Wiley, 1992.
Gallant,S. I., Neural network learning and expert systems, Cambridge, Mass. : MIT Press, 1993.

Gavirneni, S., Clark, L., Pataki, G., “Schlumberger Optimizes Receiver Location for Automated Meter Reading”, INTERFACES, Vol. 34, No. 3, 2004, pp:208-214.
Gerald, I. W., Ashwinpaul, C. S., Fried, D., The analysis and use of financial statements, New York, Wiley, 1994.
Giarratano, J. and Riley, G., Expert System:Principles And Programming 3rd Edition, PWS Publishing Company, Boston, MA, 1998.
Gruninger, M. and Fox, M. S., “Methodology for the Design and Evaluation of Ontologies”, Proceedings of the Workshop on Basic Ontological Issues in Knowledge Sharing, International Joint Conference on AI(IJCAI-95), Canada, 1995.
Gruber, T. R., “A translation approach to portable ontology specifications”, Knowledge Acquisition, Vol. 5, No. 2, 2001 , pp:199-220.
Guarino. N., “Formal Ontology and Information System, Formal Ontology in Information Systems”, Proceeding of the 1st International Conference, 1998, pp: 3-15.
Han, J and M. Kamber. Data Mining:Concepts And Techniques, Academic Press, 2001.
Han. J. and Kanmber M., Data Mining Concepts and Techniques, Elsevier (Singapore) Pte Ltd, 2003.
Harris, D. B., Creating a knowledge centric information technology environment,[Online], 15 September. 1996. Available: http://www.htcs.com/ckc.htm
Honavar, V. U. and Leonard M., Artificial intelligence and neural networks : steps toward principled integration, Boston :Academic Press, 1994.
Horst, R. and Pardalos, P.M., Handbook of Global Optimization, Kluwer, Dordrecht 1995.
Horst, R. and Pardalos, P.M., “Nguyen Van Thoai, Introduction to Global Optimization - Second Edition”, Nonconvex optimization and its applications ;v. 48, Dordrecht; Kluwer Academic Publishers, 2000.
Hull, J. C., Options, futures & other derivatives, Upper Saddle River, NJ: Prentice Hall, 2003.
Kim, B. O. and Lee, S. M. “A bond rating expert system for industrial companies”, Expert System With Application (9:1) 1995, pp:63-70.
Li, H. L. Chang, C.T., Tsai, J. F., “Approximately global optimization for assortment problems using piecewise linearization techniques”, European Journal of Operational Research 140, 2002, pp:584-589.

Li, H. L. and Tsai, J. F., “Global optimization methods for generalized geometric programming problem”, NCTU, 2003, P.h.D. dissertation, pp:15-16.
Liu, R. L. and Lu, Y. L., “Incremental Context Mining for Adaptive Document Classification, Proc”. of the Eighth ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining. Edmonton, Canada,2001, pp: 599-604.
Ljubica, N. Vladan, D. “Expert Systems in Finance - a Cross-Section of the Field”, Expert Systems with Application 23, 2002, pp:49-66.
Mangasarian, O. L., Rosen, J. B., and Thompson, M, E., Global Minimization via Piecewise-Linear Underestimation, Journal of Global Optimization, to be appeared, 2004.
Mcllraith, S. A. Son, T. C., Zeng, J., “Semantic Web Services, IEEE Intelligent System”, Vol 16, No. 2, 2001, pp: 46-53.
Mehrotra, K., Mohan, C. K., Tanka, S., Elements of Artificial Neural Networks, Cambridge, Mass. MIT Press, 1997.
Michael, W. C., Camille, C. P., Operations research: a practical introduction, Boca Raton, FL :CRC Press, 2001.
Miettinen, K., “On Nonlinear Optimization and Multiobjective Optimization”, Lectures at the University of Pavia, Italy, 2004, April pp:21-23.
Montazemi, A.R. and K.M. Gupta, “An Adaptive Agent for Case Description in Diagnostic CBR Systems”, Computers in Industry Vol. 29, 1996, pp:209-224.
Nedovic, L. and Devedzic, V., “Expert Systems in finance: a cross-section of the field”, Expert Systems with Applications 23, 2002, pp:49-66.
Nightingale, P., A Cognitive Model of Innovation. Research Policy, forthcoming, 1998
Omelayenko. B.,” RDFT: A Mapping Meta-Ontology for Business Integration.”, Proceedings of the Workshop on Knowledge Transformation for the Semantic for the Semantic Web at the 15th European Conference on Artificial Intelligence, 2002, pp:77-84, France.
Peng, Y., Zou, Y., Luan, X., Ivezic, N., Runinger, M., Jones, A., “Semantic resolution for e-commerce”, Proceedings of the First International Joint Conference on Autonomous Agents and Multi-Agent Systems., 2002, pp:1037-1038, Italy.
Reid, R. D. and Sanders, N. R., Operations management: an integrated approach, Hoboken, N.J. : John Wiley,2005.
Sandgren E., “Nonlinear integer and discrete programming in mechanical design optimization”, Journal of Mechanical Design 112, 1990, pp:223-229.
Schank, R., Abelson, R., Scripts, P., Goal and Understanding Erlbaum, Hillsdale, NJ, 1977.
Serway, R. A., Beichner, R. J., Jewett, J. W., Jr., Physics for scientists and engineers with modern physics., London Fort Worth, Tex, Saunders College, 2000.
Shin D. K. Gurdal Z. and Griffin O. H., “A penalty approach for nonlinear optimization with discrete variables”, Engineering Optimization 16, 1990, pp:29-42.
Simpson, Patrick K., Artificial neural systems : foundations, paradigms, applications, and implementations, New York : Pergamon Press, 1990.
TSEC臺灣證券交易所,http://www.tse.com.tw
Uschold, M. and King, M., Towards a Methodology for Building Ontologies, Workshop on Basic Ontological Issues in Knowledge Sharing, International Joint Conference on AI(IJCAI-95), Canada, 1995.
Waterman, D. A., A GUIDE TO EXPERT SYSTEM, 1985.
Watson, “Case-based reasoning is a methodology not a technology”, ELSVIER Knowledge-Based System, 1999, pp:303-308.
William, L., Naval, M., Russell, P., Tom, R., “Stock market rule discovery using technical charting heuristics”, Expert Systems with Applications (23) 2002, pp:155-159
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