This article presents a methodology for the modeling of high-speed systems using machine learning methods. A multilayer perceptron neural network is used to map the input- output characteristics from ...

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It is necessary to use multi-channel or deep neural network structure to achieve the goal of modeling the high-order structural characteristics of the network. Therefore, this paper proposes a linear ...

(Multi-layer perceptron) performs well, but RBF (radial basis) neural network has more advantages in training speed. In terms of accuracy, Yuan et al. first successfully applied artificial neural ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks.

So now let us understand how to solve the XOR problem with neural networks. How to solve the XOR problem with neural networks? The XOR problem with neural networks can be solved by using Multi-Layer ...

Zhu et al. (2019) applied river discharge and the day of the year along withair temperature to predict the daily water temperature of rivers using an extreme learning machine, a feedforward neural ...

Neural networks today do everything from cameras to translations. A professor of computer science provides a basic explanation of how neural networks work.