کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
408805 | 679042 | 2009 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A novel weight initialization method for the random neural network
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A novel weight initialization method for the random neural network A novel weight initialization method for the random neural network](/preview/png/408805.png)
چکیده انگلیسی
In this paper, we propose a novel weight initialization method for the random neural network. The method relies on approximating the signal-flow equations of the network to obtain a linear system of equations with nonnegativity constraints. For the solution of the formulated linear nonnegative least squares problem we have developed a projected gradient algorithm. It is shown that supervised learning with the developed initialization method has better performance in terms of both solution quality and execution time than learning with random initialization when applied to a combinatorial optimization emergency response problem.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 73, Issues 1–3, December 2009, Pages 160–168
Journal: Neurocomputing - Volume 73, Issues 1–3, December 2009, Pages 160–168
نویسندگان
Stelios Timotheou,