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Aug 2, 2023 · Neural networks, also known as artificial neural networks (ANNs) or artificially generated neural networks (SNNs) are a subset of machine learning that provide the foundation of deep learning...
An artificial neural network is a machine learning algorithm based on the concept of a human neuron. The purpose of this review is to explain the fundamental concepts of artificial neural networks. Keywords: Machine Learning, Artificial Intelligence, Neural Networks, Deep Learning.
An artificial neural network is a system based on the operation of biological neural networks, in other words, is an emulation of a biological neural system (Hinton, 1992). Neural network simulations appear to be a recent development.
Nov 19, 2016 · Generally speaking, the development of artificial neural networks or models of neural networks arose from a double objective: firstly, to better understand the nervous system and secondly, to try to construct information processing systems inspired by natural, biological functions and thus gain the advantages of these systems.
Nov 1, 2018 · This section highlights discusses, compares, summarizes and critiques more than eighty research articles on artificial neural network model's application to the diverse area of the economy.
Jan 7, 2024 · Beginning with an exploration of basic neural network components and training algorithms, the study progresses to discuss sophisticated architectures such as Convolutional Neural Networks...
Jan 14, 2022 · In this chapter, we go through the fundamentals of artificial neural networks and deep learning methods. We describe the inspiration for artificial neural networks and how the methods of deep learning are built. We define the activation function and its role in...
