Convergence properties of symmetric learning algorithm for pattern classification
نویسندگان
چکیده
منابع مشابه
Convergence Properties of Symmetric Learning Algorithm for Pattern Classification
In the field of adaptive filters, the affine projection algorithm (APA) [l] is well known as a generalized algorithm of the normalized LMS algorithm[2], [3] into the block signal processing. We proposed the geometric learning algorithm (GLA) as an application of the APA to perceptron[4], [S]. The connection weight vector is updated vertically towards the orthogonal complement of k pattern vecto...
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ژورنال
عنوان ژورنال: Electronics and Communications in Japan (Part III: Fundamental Electronic Science)
سال: 1999
ISSN: 1042-0967,1520-6440
DOI: 10.1002/(sici)1520-6440(199904)82:4<18::aid-ecjc3>3.0.co;2-f