Multiplication-free Neural Networks | IEEE Conference Publication | IEEE Xplore

Multiplication-free Neural Networks


Abstract:

In this article, a multiplication-free artificial Neural Network (ANN) structure is proposed. Inner products between the input vectors and the ANN weights are implemented...Show More

Abstract:

In this article, a multiplication-free artificial Neural Network (ANN) structure is proposed. Inner products between the input vectors and the ANN weights are implemented using a multiplication-free vector operator. Training of the new artificial neural network structure is carried out using the sign-LMS algorithm. Proposed ANN system can be used in applications requiring low-power usage or running on microprocessors that have limited processing power.
Date of Conference: 16-19 May 2015
Date Added to IEEE Xplore: 22 June 2015
Electronic ISBN:978-1-4673-7386-9
Print ISSN: 2165-0608
Conference Location: Malatya, Turkey

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