Multiplication-free Neural Networks
2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
Institute of Electrical and Electronics Engineers Inc.
2416 - 2418
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Please cite this item using this persistent URLhttp://hdl.handle.net/11693/28530
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. © 2015 IEEE.
KeywordsArtificial Neural Network