Artificial Intelligence and Molecular Biology
by Lawrence Hunter
Publisher: AAAI Press 1993
ISBN/ASIN: 0262581159
ISBN-13: 9780262581158
Number of pages: 467
Description:
These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. Focusing on novel technologies and approaches, rather than on proven applications, they cover genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems. A brief introductory primer on molecular biology and Al gives computer scientists sufficient background to understand much of the biology discussed in the book.
Download or read it online for free here:
Download link
(1.7MB, PDF)
Similar books
Self-Organizing Mapsby George K Matsopoulos - InTech
Contents: Learning the Number of Clusters in Self Organizing Map; Neural-Network Enhanced Visualization of High-Dimensional Data; SOM-based Applications in Remote Sensing; Segmentation of Satellite Images Using SOM; Face Recognition Using SOM; etc.
(9174 views)
Mathematical Linguisticsby Andras Kornai
The book introduces the mathematical foundations of linguistics to computer scientists, engineers, and mathematicians. The book presents linguistics as a cumulative body of knowledge from the ground up: no prior knowledge of linguistics is assumed.
(13892 views)
Artificial Intelligence - Agents and Environmentsby William John Teahan - BookBoon
This book is the first in a series on Artificial Intelligence. It provides an introduction to the topic with an emphasis on the use of agent-oriented design. Topics include agents, environments, agent movement, and agent embodiment.
(11470 views)
Computational Intelligence and Modern Heuristicsby Al-Dahoud Ali - InTech
This book will take its readers on a stunning voyage of computational intelligence heuristics research and applications. Computational intelligence techniques are covered, ranging from neural networks, fuzzy logic, genetic algorithms, etc.
(10282 views)