Advances in Soft Computing

9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Pachuca, Mexico, November 8-13, 2010, Proceedings, Part II

  • Grigori Sidorov
  • Arturo Hernández Aguirre
  • Carlos Alberto Reyes García
Conference proceedings MICAI 2010

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6438)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 6438)

Table of contents

  1. Front Matter
  2. Invited Paper

    1. Boris Stilman, Vladimir Yakhnis, Oleg Umanskiy
      Pages 1-21
  3. Machine Learning and Pattern Recognition

    1. Brijnesh J. Jain, Klaus Obermayer
      Pages 22-32
    2. Everton Alvares Cherman, Jean Metz, Maria Carolina Monard
      Pages 33-43
    3. Leonardo Chang, Miriam Monica Duarte, Luis Enrique Sucar, Eduardo F. Morales
      Pages 56-66
    4. Guillermo Sanchez-Diaz, Ivan Piza-Davila, Manuel Lazo-Cortes, Miguel Mora-Gonzalez, Javier Salinas-Luna
      Pages 92-103
    5. Rogelio Salinas-Gutiérrez, Arturo Hernández-Aguirre, Mariano J. J. Rivera-Meraz, Enrique R. Villa-Diharce
      Pages 104-115
    6. Ali Zulfiqar, Aslam Muhammad, Ana Maria Martinez-Enriquez, G. Escalada-Imaz
      Pages 116-125
    7. Omer Boehm, David R. Hardoon, Larry M. Manevitz
      Pages 126-137
    8. Antonio Camarena-Ibarrola, Edgar Chávez
      Pages 138-148
    9. Laura Jeanine Razo Gil, Salvador Godoy-Calderón, Ricardo Barrón Fernández
      Pages 149-162
  4. Automatic Learning for Natural Language Processing

    1. Fabiano Fernandes dos Santos, Veronica Oliveira de Carvalho, Solange Oliveira Rezende
      Pages 163-176
    2. Miguel Angel Ríos Gaona, Alexander Gelbukh, Sivaji Bandyopadhyay
      Pages 177-185
  5. Hybrid Intelligent Systems and Neural Networks

    1. Sohail Sarwar, Zia Ul-Qayyum, Owais Ahmed Malik
      Pages 221-232
    2. Larry Manevitz, Hananel Hazan
      Pages 245-256
    3. Rolando J. Praga-Alejo, Luis M. Torres-Treviño, David S. González, Jorge Acevedo-Dávila, Francisco Cepeda
      Pages 257-268
    4. Laura E. Gomez, Humberto Sossa, Ricardo Barron, Julio F. Jimenez
      Pages 269-279
    5. Eugène C. Ezin, Orion Fausto Reyes-Galaviz, Carlos A. Reyes-García
      Pages 280-289
  6. Evolutionary Algorithms and Other Naturally-Inspired Algorithms

  7. Fuzzy Logic

    1. Do-Thanh Sang, Dong-Min Woo, Dong-Chul Park, Thi Nguyen
      Pages 406-417
    2. Bora İ Kumova, Hüseyin Çakir
      Pages 418-427
    3. Luis G. Martínez, Antonio Rodríguez-Díaz, Guillermo Licea, Juan R. Castro
      Pages 428-439
    4. Carlos Campa, Antonio Acevedo, Elena Acevedo
      Pages 440-453
    5. Fevrier Valdez, Patricia Melin, Oscar Castillo
      Pages 465-474
    6. Ricardo Martinez-Soto, Oscar Castillo, Luis T. Aguilar, Patricia Melin
      Pages 475-486
    7. Prometeo Cortés Antonio, Ildar Batyrshin, Heron Molina Lozano, Luis A. Villa Vargas, Imre Rudas
      Pages 487-499
    8. Juan-Manuel Ramos-Arreguin, Emmanuel Guillen-Garcia, Sandra Canchola-Magdaleno, Jesus-Carlos Pedraza-Ortega, Efren Gorrostieta-Hurtado, Marco-Antonio Aceves-Fernández et al.
      Pages 500-511
  8. Back Matter

Other volumes

  1. 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Pachuca, Mexico, November 8-13, 2010, Proceedings, Part I
  2. Advances in Soft Computing
    9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Pachuca, Mexico, November 8-13, 2010, Proceedings, Part II

About these proceedings


Artificial intelligence (AI) is a branch of computer science that models the human ability of reasoning, usage of human language and organization of knowledge, solving problems and practically all other human intellectual abilities. Usually it is characterized by the application of heuristic methods because in the majority of cases there is no exact solution to this kind of problem. Soft computing can be viewed as a branch of AI that deals with the problems that explicitly contain incomplete or complex information, or are known to be impossible for direct computation, i.e., these are the same problems as in AI but viewed from the perspective of their computation. The Mexican International Conference on Artificial Intelligence (MICAI), a yearly international conference series organized by the Mexican Society for Artificial Intelligence (SMIA), is a major international AI forum and the main event in the academic life of the country’s growing AI community. In 2010, SMIA celebrated 10 years of activity related to the organization of MICAI as is represented in its slogan “Ten years on the road with AI”. MICAI conferences traditionally publish high-quality papers in all areas of artificial intelligence and its applications. The proceedings of the previous MICAI events were also published by Springer in its Lecture Notes in Artificial Intelligence (LNAI) series, vols. 1793, 2313, 2972, 3789, 4293, 4827, 5317, and 5845. Since its foundation in 2000, the conference has been growing in popularity and improving in quality.


artificial intelligence cognition evolution evolutionary algorithm fuzzy logic learning machine learning neural network pattern recognition

Editors and affiliations

  • Grigori Sidorov
    • 1
  • Arturo Hernández Aguirre
    • 2
  • Carlos Alberto Reyes García
    • 3
  1. 1.Centro de Investigación en ComputaciónInstituto Politécnico NacionalMexico CityMéxico
  2. 2.Centro de Investigación en Matemáticas (CIMAT), Area de ComputaciónGuanajuatoMéxico
  3. 3.Ciencias ComputacionalesInstituto Nacional de Astrofísica, Optica y Electrónica (INAOE)PueblaMéxico

Bibliographic information