Modeling red pine tree mortality: An artificial neural network approach

The main objective of this study is to seek new modeling techniques to improve the ability of projecting tree mortality in forest growth and yield simulation. Multi-layer feed-forward artificial neural networks (ANN) are adopted to achieve the goal. The premise of ANN modeling approach is the ability of such networks to approximate any measurable or continuous function to any desired degree of accuracy, given enough complexity and training.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Crop Sciences

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Guan, Biing Tzuang

Contributors dc:contributor

• Dawson, Jeffrey O.

• Biology, Biostatistics
• Agriculture, Forestry and Wildlife
• Artificial Intelligence

Statement dc:rights

• Copyright 1991 Guan, Biing Tzuang

Language dc:language

eng

Identifier

AAI9210819
(UMI)AAI9210819

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/20780