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متن کاملOn a Riemannian Version of the Levenberg-Marquardt Algorithm
*This research was carried out as part of NWO research project 611-304-019, 'Address: Free University, Department of Economics and Econometrics, De Boelelaan 1105, 1081 HV Amsterdam, The Netherlands. E-mail: [email protected].
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Back propagation neural network (BPNN) algorithm is a widely used technique in training artificial neural networks. It is also a very popular optimization procedure applied to find optimal weights in a training process. However, traditional back propagation optimized with Levenberg marquardt training algorithm has some drawbacks such as getting stuck in local minima, and network stagnancy. This...
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ژورنال
عنوان ژورنال: East European Jewish Affairs
سال: 1997
ISSN: 1350-1674,1743-971X
DOI: 10.1080/13501679708577849