As you know, Neural Networks (NNs) without a hidden layer (HL) are mathematically equivalent to generalized linear models (GLMs), with the activation function (AF) as the link function. For example, ...

Thanks to the neural network, the researchers now suspect, for example, that the black hole at the center of the Milky Way is spinning almost at top speed. Its rotation axis points to Earth.

This framework could then be integrated with existing neuroscience theories. To develop their framework, they employed artificial neural networks (ANNs) trained via reinforcement learning.

Researchers have developed a groundbreaking 3D brain model that closely mirrors the architecture and function of the human brain.

Examples of Venn Diagrams As an example, a Venn diagram could distinguish between fruits and vegetables that come in red and/or orange colors. Below, we can see that there are orange fruits ...

As we advance towards 6G communication systems, the number of network devices continues to increase resulting in spectrum scarcity. With the help of Spectrum Sensing (SS), Cognitive Radio (CR) ...

This work addresses two innovative and challenging aspects in the pursuit of an accurate localization process, which can be achieved through a complex and nonlinear approach such as neural networks ...

Figure 1: Comparison of the behavior of trained RNNs and monkeys. (A) Schematic of RNN training setup. In a trial, the network makes a choice in response to a cue. Then, a feedback input, determined ...

In comparison with numerous available results with regard to bifurcations on account of fractional-order neural networks (FONNs) with the retarded delays, this paper is concerned with the stability ...

Neural networks (NNs) are a type of machine learning model inspired by the human brain. In air pollution forecasting, due to their ability to capture complex and nonlinear relationships between ...