  The implementation of analog neural network and online analog learning
circuits based on memristive crossbar has been intensively explored in recent
years. The implementation of various activation functions is important,
especially for deep leaning neural networks. There are several implementations
of sigmoid and tangent activation function, while the implementation of the
neural networks with linear activation functions is an open problem. Therefore,
this paper introduces a multilayer perceptron design with linear activation
function. The temperature and noise analysis was performed. The perceptron
showed a good performance and strong durability to temperature changes.
