An assessment method for forest health based on hybrid ABC-BP algorithm

摘要

In order to support forest sustainable management better, this paper researches on the assessment index systems and assessment method of forest health. Firstly, the current state of assessment index systems is analyzed, the result of which indicates the most of them are composed of multilayer and classified indexes, i. e. three-layer assessment index systems. Next, so as to build the assessment model that can be adapted to three-layer assessment index systems, a hybrid ABC-BP algorithm is presented. ABC-BP algorithm combines the robust global searching ability of Artificial Bee Colony (ABC) algorithm with the strong nonlinear mapping and learning ability of Back Propagation (BP) algorithm, the result of which is the problems of BP algorithm (e. g., Being easily trapped into local minimum and Slow convergence) is solved. At last, the effectiveness of this algorithm is illustrated with the experimental exresult.

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