Durability of Affordable Neural Networks against Damages

In this study, we address the durability of the brain, which is able to operate in various imperfect situations. In our previous research, we have proposed a new network structure called the "Affordable Neural Network", where affordable neurons in the hidden layer of the feedforward neural network reflect important aspects of the real brain mechanism. We consider that the concept of the affordable neural network embodies the important feature of durability. In our contribution, we investigate the durability of the affordable neural network when some of the neurons in the hidden layer are damaged after the learning process.