Abstract:
Neural Networks (NN) have been a matter of research because of their capability to solve complex problems where other topologies fail. However, current implementations of...Show MoreMetadata
Abstract:
Neural Networks (NN) have been a matter of research because of their capability to solve complex problems where other topologies fail. However, current implementations of practical NNs require powerful computers for their deployment, like the ones used in data centers which typically require a high energy budget. This work proposes a simplicial piecewise linear algorithm as an alternative to implement NNs, which in addition can be implemented in low-power microelectronics. We illustrate the feasibility of the approach giving some examples where the simplicial algorithms replace conventional NNs with similar results.
Date of Conference: 20-22 March 2019
Date Added to IEEE Xplore: 18 April 2019
ISBN Information: