کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4480078 1316473 2010 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Application of the relevance vector machine to canal flow prediction in the Sevier River Basin
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم زراعت و اصلاح نباتات
پیش نمایش صفحه اول مقاله
Application of the relevance vector machine to canal flow prediction in the Sevier River Basin
چکیده انگلیسی

This work addresses management of water for irrigation in arid regions where significant delays between the time of order and the time of delivery present major difficulties. Motivated by improvements to water management that will be facilitated by an ability to predict water demand, it employs a data-driven approach to developing canal flow prediction models using the relevance vector machine (RVM), a probabilistic kernel-based learning machine. A search is performed across model attributes including input set, kernel scale parameter and model update scheme for models providing superior prediction capability using the RVM. Models are developed for two canals in the Sevier River Basin of southern Utah for prediction horizons of up to 5 days.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Agricultural Water Management - Volume 97, Issue 2, February 2010, Pages 208–214
نویسندگان
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