
Structuring Biological Systems
A Computer Modeling Approach
S. Sitharama Iyengar(Author)
CRC Press
1st Edition
Published on 30. April 1992
Book
Hardback
288 pages
978-0-8493-7961-1 (ISBN)
Description
Structuring Biological Systems focuses on the important components of biological systems in order to develop genetic algorithms for modeling purposes. The book considers the characteristics of biological systems from the artificial intelligence point of view, examines modeling examples of complex biological systems (such as molecular level modeling, a model of renal hemodynamics, and cognitive aspects of modeling), describes the entropy-based probability distribution for modeling of environmental and biological systems, and presents a detailed analysis of modeling cancer phenomena. Structuring Biologic Systems will benefit students and researchers interested in an interdisciplinary approach to complex problems of biological systems, as well as biologists, chemists, engineers, research physicians, and computer scientists.
More details
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
Weight
566 gr
ISBN-13
978-0-8493-7961-1 (9780849379611)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Author
Contributions
Louisiana State University, Baton Rouge, USA
Los Alamos National Lab, Los Alamos, New Mexico, USA
Louisiana State University
Louisiana State University
Brigham & Women's Hospital, Boston, Massachusetts, USA
Content
Structure of Genetic Algorithms in Biological Systems (S.S. Iyengar, L. Prasad, and D. Morton). Computer Modeling and Artificial Intelligence: An Introductory Review (D.P.F. Moeller). Modeling of Biological Systems at the Molecular Level: Electronic and Molecular Properties of Complex Molecular Systems (N.R. Kestner). A Mathematical Model of Renal Hemodynamics and Excretory Function (T.G. Coleman and J.E. Hall). Cognitive Aspects in the Modeling and Simulation of Complex Biological Systems (B.P. Bergeron and R.L. Rouse). Entropy-Based Probability Distributions for Modeling of Environmental and Biological Systems (V.P. Singh). Computer Simulation in Cancer Research (W. Duechting). Appendices. Index.