|
[1]尤明偉，2002，應用類神經網路於股票技術指標聚類與預測分析之研究，義守大學，碩士論文。[2]林金木，2001，以演化型模糊模式探勘內隱決策知識之研究，國立高雄第一科技大學，碩士論文。[3]李昇暾、李天祥，2002，”以模糊語意塑模法萃取內隱決策知識之研究”，第十三屆國際資訊管理學術研討會，台北。[4]陳奇銘、林進士、李春波、柯俊義、蔣忠憲、蕭義煌、吳天介，2000，”運用技術理論分析於類神經網路之最佳股市預測系統”，真理大學。[5]許惠玲，2001，以Self-Organizing Map進行文學 作品語意編碼，國立台灣大學資訊工程學研究所，碩士論文。[6]薛兆亨，李昇暾，1999，”以機率型類神經網路建立財報分析專家之決策模式－以短期償債能力分析為例”，東吳經濟商學學報第26期，民國八十八年九月，pp. 87-107。[7]蔡文賢，2000，”台灣實施隔週休二日制度對股票報酬率之影響”，亞太會計與財務研究研討會論文集，2000年3月11日。[8]鄭博文，2002，以資料探勘技術探索台灣經濟景氣因子指數對於土地登記異動量之影響性-以嘉義市地區為例，南華大學，碩士論文。[9]Azcarraga, A.P. and Yap, T.N., Jr., 2001, “SOM-based methodology for building large text archives,” in Proceeding of Seventh International Conference on Database Systems for Advanced Applications, 18-21 April 2001, Hong Kong, China, pp. 66-73.[10]Afifi, A. A. and Clark, Virginia, 1996, Computer-Aided Multivariate Analysis, CRC Press, New York.[11]Alter, Steven, 1996, Information Systems: a management perspective, The Benjamin Cummings Publishing Company Inc., 2ed, USA.[12]Babuška, R. and Setnes, M. and Kaymak, U. and Lemke, HR van Nauta, 1996, “Rule Base Simplification with Similarity Measures,” Proceedings of the Fifth IEEE International Conference on Fuzzy Systems, Vol. 3, pp. 1642-1647.[13]Backer, E. and Jain, A.K., 1981, “A cluster performance measure based on fuzzy set decomposition,” IEEE Trans. Pattern Analysis Machine Intelligence, Vol. 3, Issue 4, pp. 66-75.[14]Balkin, Sandy D., 2000, “Automatic neural network modeling for univariate time series,” International Journal of Forecasting, Vol. 46, Issue 4, pp. 497-508.[15]Berkan, Riza C. and Trubatch, Sheldon L., 1997, “Fuzzy Systems Design Principles,” IEEE Press, New York.[16]Bezdek, J.C., 1973, Applied Math. Center, Cornell University, “Fuzzy Mathematics in Pattern Classification,” Ph. D. Thesis, Ithaca.[17]Boudraa, A.-O., 1999, “Dynamic estimation of number of clusters in data sets,” Electronics Letters, Vol. 35, No. 19, pp. 1606-1608.[18]Castillo, O. and Melin, P., 2001, “Simulation and forecasting complex financial time series using neural networks and fuzzy logic,” IEEE International Conference on Systems, Man, and Cybernetics, Vol. 4, 2664-2669.[19]Chen, M.-S. and Wang, S.-W., 1999, “Fuzzy Clustering for Optimizing Fuzzy Membership Functions,” Fuzzy Sets and Systems, Vol. 103, pp. 239-254.[20]Chiang, Ding-An and Chow, Louis R. and Wang, Yi-Fan ,2000, “Mining time series data by a fuzzy linguistic summary system,” Fuzzy Sets and Systems, Vol. 112, Issue 3, pp. 419-432.[21]Dave, R. N., 1990, “Fuzzy Shell-Clustering and Application to Circle Detection in Digital Image,” International Journal General Systems, Vol. 16, pp. 343-355.[22]Dave, R. N. and Bhaswan, K., 1992, “Adaptive Fuzzy c-Shells Clustering and Detection of Ellipses,” IEEE Trans. on Neural Networks, Vol. 3, pp. 643-662.[23]Degroot, Morris H. and Schervish, Mark J., 2002, Probability and Statistics, 3ed, Addison-Wesley, New York.[24]Dubois, D. and Prade, H., 1980, Fuzzy Sets and Systems-Theory and Applications, Academic Press, New York.[25]Duda, Richard O. and Hart, Peter E., 1973, Pattern Classification and Scene Analysis, Wiley, New York.[26]Dunn, J.C., 1974, “A Fuzzy Relative of ISODATA Process and its Use in Detecting Compact, Well separated Clusters,” Journal of Cybernetic, Vol. 3, pp. 95-104.[27]Dhar, Vasant and Stein, Roger, 1997, Intelligent Decision Support Methods, the Science of Knowledge Work, Prentice Hall, New York.[28]Emami, M. R. and Turksen, I. B., 1998, “Development of a Systematic Methodology of Fuzzy Logic Modeling,” IEEE Trans. on Fuzzy Systems, Vol. 6, No. 3, pp. 346-361.[29]Enders, Walter, 1995, Applied econometric time series, John Wiley & Sons, New York.[30]Eshagh, F. and Mamdani, E. H., 1979, “A general approach to linguistic approximation,” International Journal Man-Machine Studies, Vol. 11, pp. 501-519.[31]Farlow, Stanly J., 1984, Self-organizing methods in modeling, Marcel Dekker, New York.[32]Galton, F., 1886, “Regression toward mediocrity in heredity stature,” Journal of the Anthropological Institute, Vol. 15, pp. 246-263.[33]Gath, I. and Geva, Amir B., July 1989, “Unsupervised optimal fuzzy clustering,” IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 11, Issue 7.[34]Genther, H. and Glesner, M., 1997, “Advanced Data Pre-processing using Fuzzy Clustering Techniques,” Fuzzy Sets and Systems, Vol. 85, pp. 155-164.[35]Geva, Amir B. and Steinberg, Yossef and Burckmair, Shay and Nahum, Gerry, 2000, “A comparison of cluster validity criteria for a mixture of normal distributed data,” Pattern Recognition Letters, Vol. 21, pp 515-529.[36]Ghosh, S. and Kishore, N.K., 2002, “Modelling partial discharge inception and extinction voltages of sheet samples of solid insulating materials using an artificial neural network,” Proceeding of IEEE Science, Measurement and Technology, Vol. 149, Issue 2, 73-78.[37]Goodman, P. S., 1998, “Computer-aided systems and communities: Mechanisms for organizational learning in distributed environments,” MIS Quarterly, Vol. 22, Issue 4, pp. 417-441.[38]Gunther, P. and Chen, P., 2001, “A new approach to hybrid SOM implementations for text classification,” in Proceeding of the 10th IEEE International Conference on Fuzzy Systems, Vol. 2, 2-5 Dec. 2001, pp. 968-971.[39]Gustafson, E. E., and Kessel, W.C., 1979, “Fuzzy clustering with a fuzzy covariance matrix,” IEEE CDC, pp. 761-766, San Diego, California.[40]Ha, N.V. and Ishikawa, T. and Abe, A., 2000, “An inference mechanism under incomplete knowledge based on rule similarity considering viewpoint,” in Proceeding of Knowledge-Based Intelligent Engineering Systems and Allied Technologies, Vol. 2, pp. 750-755.[41]Haitao, Tang and Simula, O., 1996, “The optimal utilization of multi-service scp,” in Intelligent Neural Networks and New Technologies, pp. 175-188, Chapman & Hall.[42]Han, Jiawei, 2001, Data mining: concepts and techniques, Morgan Kaufmann, USA.[43]He, Hongxing and Chen, Shu-Heng, 2000, “Searching Financial Patterns with Self-Organizing Maps,” in Proceeding of 3rd International Conference on Computer Vision, Pattern Recognition, and Image Processing, Volume II, pp. 968-976.[44]Höppner, Frank, 1997, “Fuzzy Shell Clustering Algorithms in Image Processing: Fuzzy C-Rectangular and 2-Rectangular Shells,” IEEE Trans. on Fuzzy Systems, Vol. 5, pp. 599-613.[45]Höppner, Frank and Kruse, Rudolf and Klawonn, Frank and Runkler, Thomas, 1999, Fuzzy cluster analysis, John-Wiley, New York.[46]Ishibuchi, Hisao and Nakashima, Tomoharu and Murata, Tadahiko, 2001, “Three-objective genetics-based machine learning for linguistic rule extraction,” Information Science, Vol. 136, pp. 109-133.[47]Ishibuchi, Hisao and Sotani, Tomokazu and Murata, Tadahiko, 1999, “Tradeoff between the performance of fuzzy rule-based classification systems and the number of fuzzy if-then rules,” Fuzzy Information Processing Society, NAFIPS. 18th International Conference of the North American, pp. 125-129.[48]Jain, A. K., 1999, “Data Clustering: a review,” ACM Computing Surveys, Vol. 31, Issue 3, pp. 264-323.[49]Jain, J.-S. R. and Sun, C.-T. and Mizutani, E., 1997, Neuro-Fuzzy and Soft Computing, Prentice-Hall, USA.[50]Kaufman, Leonard and Rousseeuw, Peter J., 1990, Finding Groups in Data — An Introduction to Cluster Analysis, John Wiley &Sons, New York.[51]Kaymak, U. and Babuška, R., 1995, “Compatible clustering merging for fuzzy modeling,” Proceedings of 1995 IEEE International Conference on Fuzzy Systems, Vol. 2, pp. 897-904.[52]Kennedy, Rudy L. (editor), and Lee, Yuchun and Roy, Benjamin Van and Reed, Christop, 1997, Solving Data Mining Problems through Pattern Recognition, Unica Technologies, New York.[53]Kim, Dijin and Kim, Chulhyun, 1997, “Forecasting Time Series with Genetic Fuzzy Predictor Ensemble,” IEEE Transactions Fuzzy Systems, Vol. 5, No. 4, November 1997, pp. 523-535.[54]Klawonn, Frank and Keller, A., 1997, “Fuzzy Clustering and Fuzzy Rules,” Proceeding of 7th International Fuzzy Systems Association World Congress (IFSA’97), Vol. I, Academia, Prague, pp. 193-198.[55]Klawonn, Frank, and Kruse, Rudolf, 1995, “Derivation of Fuzzy Classification Rules from Multidimensional Data. In: G. E. Lasker, X. Liu (eds.). Advances in Intelligent Data Analysis,” The International Institute for Advanced Studies in Systems Research and Cybernetics, Windsor, Ontario, pp. 90-94.[56]Kohonen, Teuvo, 1997, Self-Organizing Maps, Springer, Germany.[57]Kohonen, Teuvo, 1984, Self-organization and associate memory, Springer-Verlag, London.[58]Kohonen, Teuvo, 1982, “Self-organized formation of topologically correct feature maps,” Biological Cybernetics, Vol. 66, pp 59-69.[59]Kowalczyk, R., 1999, “On Numerical and Linguistic Quantification in Linguistic Approximation,” in Proceeding of IEEE Systems, Man, and Cybernetics Conference, Tokyo Japan, pp. 326-331.[60]Krishnapuram, Raghu and Kim, Jongwoo, 1999, “A Note on the Gustafson-Kessel and Adaptive Fuzzy Clustering Algorithms,” IEEE Transactions on Fuzzy Systems, Vol. 7, No. 4, August 1999, pp. 453-461.[61]Krishnapuram, R. and Nasraoui, O. and Frigui, H., 1992, “The Fuzzy C Spherical Shells Algorithms: A New Approach,” IEEE Trans. on Neural Networks, Vol. 3, pp. 663-671.[62]Kusumoputro, B. and Saptawijaya, A. and Murni, A., 2001, “Comparison of hybrid neural systems of KSOM-BP learning in artificial odor recognition system,” in Proceeding of Fourth International Conference on Computational Intelligence and Multimedia Applications, Yokusika City, Japan, pp. 276-281.[63]Last, Mart and Klein, Yaron and Kandel, Abraham, 2001, “Knowledge Discovery in Time Series Database,” IEEE Transactions Systems, Man, and Cybernetics─Part B: Cybernetics, Vol. 31, No. 1 Feburary 2001, pp. 160-168.[64]Nambisan, S., 1999, “Organizational mechanisms for enhancing user inno-vation in information technology,” MIS Quarterly, Vol. 23, No. 3, pp. 365-395.[65]Negnevitsky, Michael, 2001, Artificial Intelligence: A Guide to Intelligent Systems, Addison-Wesley, New York.[66]Noh, J.B.and Lee, K.C. and Kim, J.K. and Lee, J.K.and Kim, S.H., 2000, “A case-based reasoning approach to cognitive map-driven tacitknowledge management,” Expert Systems with Applications, Vol. 19, Issue 4, November 2000, pp. 249-259.[67]Nonaka, Ikujiro and Takeuchi, Hirotaka and Takeuchi, Hiro, 1995, The knowledge-creating company, Oxford University Press, New York.[68]Pal, Nikhil R. and Bezdek, James C., 1995, “On Cluster Validity for the Fuzzy c-Means Model,” IEEE Transactions on Fuzzy Systems, Vol. 3, No. 3, August 1995, pp. 370-379.[69]Palit, Ajoy Kumar and Popovic, D., 1999, “Fuzzy Logic Based Automatic Rule Generation and Forecasting of Time Series,” in Proceeding of IEEE International Fuzzy Systems Conference, Seoul Koera, August 22-25, pp. 360-365.[70]Pantazopoulos, Konstantinos N. and Tsoukalas, Lefteri H. and Bourbakis, Nikolaos G., and Brün, Michael J., and Houstis, Elias N., 1998, “Financial Prediction and Trading Strategis Using Neurofuzzy Approaches,” IEEE Transactions systems, man and cybernetics─Part B: cybernetics, Vol. 28, No. 4, August 1998, pp. 520-531.[71]Raivio, K. and Simula, O. and Henriksson, J., 1991, “Improving decision feedback equalizer performance using neural networks,” Electronic Letter, Vol. 27, No. 23, pp. 2151-2153.[72]Ralescu, A. and Narazaki, H., 1991, “Integrating artificial intelligence techniques in linguistic modeling from numerical data,” in Proceeding of International Fuzzy Engineering Symposium., Yokohama.[73]Rezaee, M. R. and Lelieveldt, B.P.F. and Reiber, J.H.C., 1998, “A new cluster validity index for the fuzzy c-mean,” Pattern Recognition Letters, Vol. 19, Issue 3-4, pp. 237-246[74]Rhee, Hyun-Sook and Oh, Hyung-Whan, 1996, “A Validity Measure for Fuzzy Clustering and Its use in Selecting Optimal Number of Clusters,” IEEE International Conference on Fuzzy Systems, pp. 1020-1025.[75]Robin, S. H., 1998, “A Fuzzy Approach Towards Inferential Data Mining,” Computers & Industrial Engineering, Vol. 35, Issue: 1-2, pp. 267-270.[76]Setnes, M., 2000, “Supervised Fuzzy Clustering for Rule Extraction,” IEEE Trans. on Fuzzy Systems, Vol. 8, No. 4, pp. 416-424.[77]Setnes, M. and Babuška, R., 2001, “Rule Base Reduction: Some Comments on the Use of Orthogonal Transforms,” IEEE Trans. on Systems Machine and Cybernetics — Part C: Application and Reviews, Vol. 31, No. 2, pp. 199-206.[78]Setnes, M. and Babuška, R., 1998, “Similarity Measures in Fuzzy Rule Base Simplificiation,” IEEE Trans. on Systems Machine and Cybernetics — Part B: Cybernetics, Vol. 28, No. 3.[79]Setnes, M. and Babuška, R., and Verbruggen, HB, 1998, “Rule-based Modeling: Precision and Transparency,” IEEE Trans. on Systems Machine and Cybernetics — Part C: Applications and Reviews, Vol. 28, No. 1.[80]Simula, O. and Kangas, J., 1995, Process monitoring and visualization using self-organizing maps, Neural Networks Chemical Engineers, Vol. 6 of Computer-Aidded Chemical Engineering, Chapter 14, Elsevier, Amsterdam.[81]Simula, O. and Vesanto, Juha and Vasara, P.,1998, “Analysis of industrial systems using the self-organizing map,” in Proceeding of Knowledge-Based Intelligent Electronic Systems, Vol. 1, Adelaide Australia, April 1998, pp. 21-23.[82]Su, Mu-Chun and Tew, Chee-Yuen and Chen, Hsin-Hua, 2001, “Musical symbol recognition using SOM-based fuzzy systems,” in Proceeding of IFSA World Congress and 20th NAFIPS International Conference, Vol. 4, Vancouver, BC, Canada, 25-28 July 2001, pp. 2150-2153.[83]Sugeno, M., and Yasukawa, T., 1993, “A Fuzzy-Logic-Based Approach to Qualitative Modeling,” IEEE Trans. on Fuzzy Systems, Vol. 1, pp. 7-31.[84]Skyrme, J. David, 1999, Knowledge Networking: Creating the Collaborative Enterprise, Butterworth-Heinemann, New York.[85]Tryba, V. and Goser, K., 1991, “Self-Organizing Feature Maps for process control in chemistry,” in Artifical Neural Networks, pp. 874-852, Amsterdam.[86]Tsai, Chao-Chih and Wu, Shun-Jyh, 1999, “A Study of Second-order Modeling of Fuzzy Time Series,” in Proceeding of IEEE International Fuzzy Systems Conference, Seoul Korea, August 22-25, pp. 719-725.[87]Vesanto, Juha and Alhoniemi, Esa, 2000, “Clustering of the Self-Organizing Map,” IEEE Transactions on Neural Networks, Vol. 11, Issue 3, May 2000, pp. 586-600.[88]Wang, L.-X. and Mendel, J.-M., 1992, “Generating fuzzy rules by learning from examples,” IEEE Transactions Systems Man and Cybernetics, Vol. 22, No. 6, pp. 1414-1427.[89]Windham, M.P., 1982, “Cluster validity for the fuzzy c-means clustering algorithm,” IEEE Trans. Pattern Analysis Machine Intelligence, Vol. 4, Issue 4, pp. 357-363.[90]Wolfe, J.H., 1970, “Pattern clustering by multivariate mixture analysis,” Multivariable Behaviors Research, Vol. 5, Issue 7, pp. 329-350.[91]Xie, Xuanli Lisa and Beni, Gerardo, 1991, “A Validity Measure for Fuzzy Clustering,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 13, No. 8, August 1991, pp. 841-847.[92]Yang, Yiwen and Liu, Guizhong, 2001, “Multivariate time series prediction based on neural networks applied to stock market,” IEEE International Conference on Systems, Man, and Cybernetics, Vol. 4, 2680.[93]Yuan, Soe-Tsyr and Kuan, MeiLan, 2000, “Comprehensive and Personalized Stock Performance Prediction,” Journal of Information Management, Vol. 6, Issue 2, pp. 211-239.[94]Zadeh, Lotif A, 1972, “A fuzzy-set-theoretic interpretation of linguistic hedges,” Journal of Cybernetics, Vol. 2, pp. 4-34.[95]Zadeh, Lotif A., 1965, “Fuzzy Sets,” Inf. Control, Vol. 8, pp. 338-353.[96]Zhang, Ming and Xu, Shuxiang and Fulcher, J., 2002, “Neuron-adaptive higher order neural-network models for automated financial data modeling,” IEEE Transactions on Neural Networks, Vol. 13, Issue 4, 188-204. |
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