کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
411096 | 679182 | 2009 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Using a genetic algorithm to investigate efficient connectivity in associative memories
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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: Using a genetic algorithm to investigate efficient connectivity in associative memories Using a genetic algorithm to investigate efficient connectivity in associative memories](/preview/png/411096.png)
چکیده انگلیسی
We investigate sparse networks of threshold units, trained with the perceptron learning rule to act as associative memories. The units have position and are placed in a ring so that the wiring cost is a meaningful measure. A genetic algorithm is used to evolve networks that have efficient wiring, but also good functionality. It is shown that this is possible, and that the connection strategy used by the networks appears to maintain some connectivity at all distances, but with the probability of a connection decreasing rapidly with distance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 72, Issues 4–6, January 2009, Pages 732–742
Journal: Neurocomputing - Volume 72, Issues 4–6, January 2009, Pages 732–742
نویسندگان
Rod Adams, Lee Calcraft, Neil Davey,