… overview of artificial neural network. The artificial neural network learns by updating the
network architecture and connection weights so that the network can efficiently perform a task. It …

… In this paper, we have reviewed the fundamental architecture of the convolutional neural
network. … Finally, we have described several applications of the convolutional neural network. …

Convolutional neural network (CNN), a class of artificial neural networks that has become
dominant in various computer vision tasks, is attracting interest across a variety of domains, …

This chapter starts with a review of modern machine learning (ML) techniques. Advantages
and disadvantages of several ML methods taking into account its application to the …

… This article overviews neural networks and their application in developing computer systems…
a neural network can be described as follows: First, the abstract model of a neural network …

… , convolutional neural network, recurrent neural network or … , deep belief networks, generative
adversarial network, deep … overview from the perspective of these neural networks and …

… discussing MLPs based on neural networks. NNPs not only … many other interesting neural
networks–based approaches … , giving a comprehensive overview of all available methods in …

… The two neural networks are both feedforward perceptrons, and … The output generated
by a siamese neural network … In this overview we first describe the siamese neural network …

… AIM: The aim of this paper is to provide an overview of artificial neural network (… neural
network is one of the feedback neural networks. c) Learning vector quantization neural network …

… This article provides an overview of AI, chronological blueprints of the emergence of artificial
neural networks (ANNs) and some of its applications in the energy sector. This short survey …