ESTIMATING THE ACTIVATION FUNCTIONS OF AN MLP-NETWORK

P. V. Vehviläinen, H. A. T. Ihalainen

Abstract

The most common neural network type is a multilayer perceptron (MLP) network. Even a relatively simple MLP-network requires usually high computational accuracy and efficiency. The usual types of activation functions are not necessarily applicable for a neural network algorithm used in microcontrollers. For this purpose a new type of activation function is introduced.

Keywords

neural network, activation function, estimation, multilayer perceptron

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