Intelligent Agents for Data Mining and Information Retrieval [Electronic resources] نسخه متنی

اینجــــا یک کتابخانه دیجیتالی است

با بیش از 100000 منبع الکترونیکی رایگان به زبان فارسی ، عربی و انگلیسی

Intelligent Agents for Data Mining and Information Retrieval [Electronic resources] - نسخه متنی

Masoud Mohammadian

| نمايش فراداده ، افزودن یک نقد و بررسی
افزودن به کتابخانه شخصی
ارسال به دوستان
جستجو در متن کتاب
بیشتر
تنظیمات قلم

فونت

اندازه قلم

+ - پیش فرض

حالت نمایش

روز نیمروز شب
جستجو در لغت نامه
بیشتر
توضیحات
افزودن یادداشت جدید


"http://www.w3.org/TR/xhtml11/DTD/xhtml11.dtd">









  • REFERENCES

    Bonarini,

    A. (

    1996 ). Evolutionary learning of fuzzy rules: Competition and cooperation. In

    W.

    Pedrycz (Ed.), Fuzzy Modelling: Paradigms and Practice.

    Norwell, MA :

    Kluwer Academic .

    Bot,

    M. (

    1999 ). Application of genetic programming to induction of linear classification trees.

    Amsterdam, Netherlands :

    Vrije Universiteit . (

    Final Term Project Report )

    Browne,

    C.,

    Dntsch,

    I. &

    Gediga,

    G. (

    1998 ). IRIS revisited: A comparison of discriminant and enhanced rough set data analysis. In

    L.

    Polkowski &

    A.

    Skowron (Eds.), Rough Sets in Knowledge Discovery (

    vol. 2 ,

    pp. 345–368 ).

    Heidelberg, Germany :

    Physica Verlag .

    Darwin,

    C. (

    1864 ). On the Origin of Species by Means of Natural Selection or the Preservation of Favoured Races in the Struggle for Life.

    Cambridge, UK :

    Cambridge University Press .

    Duch,

    W.,

    Adamczak,

    R. &

    Grabczewski,

    K. (

    2000 ). A new methodology of extraction, optimisation and application of crisp and fuzzy logical rules. IEEE Transactions on Neural Networks,

    11 (

    2 ).

    Engelbrecht,

    A. P.,

    Rouwhorst,

    S. E., &

    Schoeman,

    L. (

    2001 ). A building block approach to genetic programming for rule discovery. In

    H.

    Abbass,

    R.

    Sarkar &

    C.

    Newton (Eds.), Data Mining: A Heuristic Approach.

    Hershey, PA :

    Idea Group .

    Fayyad,

    U.,

    Piatetsky-Shapiro,

    U. G.,

    Smyth,

    P., &

    Uthurusamy,

    R. (

    1996 ). Advances in Knowledge Discovery and Data Mining.

    Menlo Park, CA :

    AAAI/MIT Press .

    Fisher,

    R. A. (

    1936 ). The use of multiple measurements in taxonomic problems. Annals of Eugenics (

    pp. 179–188 ).

    Fuchs,

    M. (

    1998 ). Crossover versus mutation: An empirical and theoretical case study. In Proceedings of the 3rd Annual Conference on Genetic Programming.

    San Francisco, CA :

    Morgan Kauffman .

    Halgamuge,

    S. K. &

    Glesner,

    M. (

    1994 ). Neural networks in designing fuzzy systems for real world applications. Fuzzy Sets and Systems,

    65 ,

    1–12 .

    Haykin,

    S. (

    1999 ). Neural Networks (

    2nd ed. ).

    Englewood Cliffs, NJ :

    Prentice Hall .

    Jagielska,

    I.,

    Matthews,

    C. &

    Whitfort,

    T. (

    1996 ). The application of neural networks, fuzzy logic, genetic algorithms and rough sets to automated knowledge acquisition. In Proceedings of the 4th International Conference on Soft Computing (IIZUKA'96), Japan. (

    vol. 2 ,

    pp. 565–569 ).

    Johansson,

    E. M.,

    Dowla,

    F. U., &

    Goodman,

    D. M. (

    1992 ). Backpropagation learning for multi-layer feed-forward neural networks using the conjugate gradient method. International Journal of Neural Systems,

    2 (

    4 ),

    291–301 .

    Kasabov,

    N. (

    1996 ). Foundations of Neural Networks, Fuzzy Systems and Knowledge Engineering.

    Cambridge, MA :

    MIT Press .

    Koza,

    J. (

    1992 ). Genetic Programming: On the Programming of Computers by Means of Natural Selection.

    Cambridge, MA :

    MIT Press .

    Koza,

    J. (

    1994 ). Genetic Programming II: Automatic Discovery of Reusable Programs.

    Cambridge, MA :

    MIT Press .

    Lippmann,

    R. P. (

    1987 ). An introduction to computing with neural nets. IEEE ASSP Magazine.

    Luke,

    S. &

    Spector,

    L. (

    1998 ). A revised comparison of crossover and mutation in genetic programming. In Proceedings of the 3rd Annual Conference on Genetic Programming.

    San Francisco, CA :

    Morgan Kauffman .

    Martnez,

    A. &

    Goddard,

    J. (

    2001 ). Definicin de una red neuronal para clasificacin por medio de un programa evolutivo. Mexican Journal of Biomedical Engineering,

    22 ,

    4–11 .

    Montana,

    D. J. (

    1995 ). Strongly typed genetic programming. Evolutionary Computation,

    3 (

    2 ),

    199–200 .

    Nauck,

    D.,

    Nauck,

    U. &

    Kruse,

    R. (

    1996 ). Generating classification rules with the neuro-fuzzy system NEFCLASS. Proceedings of the Biennal Conference of the North American Fuzzy Information Processing Society (NAFIPS'96),

    Berkeley, California .

    Rabual Dopico,

    J. R. (

    1999 ). Entrenamiento de redes de neuronas artificiales mediante algoritmos genticos.

    A Corua, Spain :

    Universidad da Corua, Facultad de Informtica . (

    Graduate Thesis )

    SAS/STAT user's guide (

    Release 6.03 ed. ). (

    1998 ).

    Cary, NC :

    SAS Institute Inc .

    Wong,

    M. L. &

    Leung,

    K. S. (

    2000 ). Data Mining Using Grammar Based Genetic Programming and Applications.

    Norwell, MA :

    Kluwer Academic .

  • / 171