Distributed neural network: Dynamic learning via backpropagation with hardware neurons using arduino chips


In this paper we present an implementation of and a proposed algorithm for an easily expandable hardware Artificial Neural Network (ANN) capable of learning using inexpensive, off-the-shelf microprocessors. While significant work has been done in hardware ANN implementations, this research offers a unique, general use, unspecialized, and inexpensive model… (More)
DOI: 10.1109/IJCNN.2016.7727200


4 Figures and Tables