Constructing a global and integral model of business management using a CBR system

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3190, Issue , 2004, Pages 141-147

  Corchado, Emilio ^a   Corchado, Juan M ^b   Sáiz, Lourdes ^a   Lara, Ana ^a  

^a UNIVERSITY OF BURGOS   (Spain)

^b UNIVERSITY OF SALAMANCA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CASE BASED REASONING; MAXIMUM LIKELIHOOD;

BUSINESS MANAGEMENT; BUSINESS PROCESS; CASE BASED REASONING SYSTEMS; INTEGRAL MODEL; MAXIMUM LIKELIHOOD HEBBIAN LEARNING; NOVEL CLUSTERING; RETRIEVAL METHODS; STRATEGIC RESOURCE;

COMPETITION;

EID: 35048842338     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30103-5_16     Document Type: Article

References (12)

1. E. Corchado and C. Fyfe, Orientation Selection Using Maximum Likelihood Hebbian Learning, International Journal of Knowledge-Based Intelligent Engineering Systems Volume 7 Number 2, ISSN: 1327-2314. Brighton, United Kingdom. April (2003).
2. E. Corchado, Y. Han, C. Fyfe. Structuring global responses of local filters using lateral connections. J. Exp. Theor. Artif. Intell. 15(4): 473-487 (2003)
3. E. Corchado, D. MacDonald, and C. Fyfe, Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit, Data mining and Knowledge Discovery, Kluwer Academic Publishing, (In press)
4. J. Friedman and J. Tukey. A Projection Pursuit Algorithm for Exploratory Data Analysis. IEEE Transaction on Computers, (23): 881-890. (1974).
5. C. Fyfe, and E. Corchado, Maximum Likelihood Hebbian Rules. European Symposium on Artificial Neural Networks. (2002)
6. E. Corchado, C. Fyfe: Connectionist Techniques for the Identification and Suppression of Interfering Underlying Factors. International Journal of Pattern Recognition and Artificial Intelligence. Vol. 17, No 8 (2003) 1447-1466.
7. H.S. Seung, N.D. Socci, and D. Lee, The Rectified Gaussian Distribution, Advances in Neural Information Processing Systems, 10. 350 (1998).
8. J. M. Corchado and J. Aiken (2002) Hybrid Artificial Intelligence Methods in Oceanographic Forecasting Models. IEEE SMC Transactions Part C. Vol. 32, No.4. pp. 307-313.
9. J. M. Corchado and B.Lees (2001) A hybrid case-based model for forecasting. Applied Artificial Intelligence: An International Journal Vol 15, no. 2, pp 105-127.
10. S. K.Pal, T. S. Dillon and D. S. Yeung (2000) Soft Computing in Case-based Reasoning. (eds.). Springer Verlag, London, U.K.
11. 11.I. Watson and F. Marir (1994) Case-Based Reasoning: A Review. Cambridge University Press, 1994. The knowledge Engineering Review. Vol. 9. N°3.
12. T. Peña, L. Joyanes, M. A Manzanedo, L. Sáiz, Knowledge Management and measuring intellectual capital in business organisations, Soft Computing (SOCO'2001). UK