Soft Computing Approaches in Chemistry

Editors:

ISBN: 978-3-642-53507-9 (Print) 978-3-540-36213-5 (Online)

Table of contents (11 chapters)

  1. Front Matter

    Pages i-x

  2. No Access

    Book Chapter

    Pages 1-30

    Application of Evolutionary Algorithms to Combinatorial Library Design

  3. No Access

    Book Chapter

    Pages 31-49

    Clustering of Large Data Sets in the Life Sciences

  4. No Access

    Book Chapter

    Pages 51-66

    Application of a Genetic Algorithm to the refinement of complex Mössbauer spectra

  5. No Access

    Book Chapter

    Pages 67-93

    Soft Computing, Molecular Orbital, and Density Functional Theory in the Design of Safe Chemicals

  6. No Access

    Book Chapter

    Pages 95-134

    Fuzzy logic and fuzzy classification techniques

  7. No Access

    Book Chapter

    Pages 135-159

    Application of Artificial Neural Networks, Fuzzy Neural Networks, and Genetic Algorithms to Biochemical Engineering

  8. No Access

    Book Chapter

    Pages 161-204

    Genetic Algorithms for the Geometry Optimization of Clusters and Nanoparticles

  9. No Access

    Book Chapter

    Pages 205-236

    Real-time Monitoring of Environmental Pollutants in the Workplace Using Neural Networks and FTIR Spectroscopy

  10. No Access

    Book Chapter

    Pages 237-264

    Genetic Algorithm Evolution of Fuzzy Production Rules for the On-line Control of Phenol-Formaldehyde Resin Plants

  11. No Access

    Book Chapter

    Pages 265-296

    A Novel Approach to QSPR/QSAR Based on Neural Networks for Structures

  12. No Access

    Book Chapter

    Pages 297-315

    Hybrid modeling of kinetics for methanol synthesis

  13. Back Matter

    Pages 317-320