کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6360984 1315661 2012 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Integration of multi-technology on oil spill emergency preparedness
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات اقیانوس شناسی
پیش نمایش صفحه اول مقاله
Integration of multi-technology on oil spill emergency preparedness
چکیده انگلیسی

This paper focuses on the integration of technologies including Case-Based Reasoning (CBR), Genetic Algorithm (GA) and Artificial Neural Network (ANN) for establishing emergency preparedness for oil spill accidents. In CBR, the Frame method is used to define case representation, and the HEOM (Heterogeneous Euclidean-Overlap Metric) is improved to define the similarity of case properties. In GA, we introduce an Improved Genetic Algorithm (IGA) that achieves case adaptation, in which technologies include the Multi-Parameter Cascade Code method, the Small Section method for generation of an initial population, the Multi-Factor Integrated Fitness Function, and Niche technology for genetic operations including selection, crossover, and mutation. In ANN, a modified back-propagation algorithm is employed to train the algorithm to quickly improve system preparedness. Through the analysis of 32 fabricated oil spill cases, an oil spill emergency preparedness system based on the integration of CBR, GA and ANN is introduced. In particular, the development of ANN is presented and analyzed. The paper also discusses the efficacy of our integration approach.

► Frame method for case representation, and HEOM for similarity. ► An Improved Genetic Algorithm. ► A modified back-propagation algorithm to do training.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Marine Pollution Bulletin - Volume 64, Issue 10, October 2012, Pages 2117-2128
نویسندگان
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