The window least mean square error algorithm
In order to improve the performance of LMS (least mean square) algorithm by decreasing the amount of calculations this research proposes to make an update on each step only for those elements from the input data set, that fall within a small window W near the separating hyperplane surface. This work...
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| Format: | Others |
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CSUSB ScholarWorks
2003
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| Online Access: | https://scholarworks.lib.csusb.edu/etd-project/2385 https://scholarworks.lib.csusb.edu/cgi/viewcontent.cgi?article=3386&context=etd-project |
| Summary: | In order to improve the performance of LMS (least mean square) algorithm by decreasing the amount of calculations this research proposes to make an update on each step only for those elements from the input data set, that fall within a small window W near the separating hyperplane surface. This work aims to describe in detail the results that can be achieved by using the proposed LMS with window learning algorithm in information systems that employ the methodology of neural network for the purposes of classification. |
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