Understanding how the brain learns and applies rules is the key to unraveling the neural basis of flexible behavior. A new ...
Abstract: The flying-wing aircraft control problem is a major concern. In this paper, a new control strategy is introduced. First, a Feedforward neural network (FNN) modeling is introduced. Then, a ...
Abstract: This paper proposes a feedforward compensation strategy based on Parallel GRU-Transformer neural network to address the issues of large tracking errors and insufficient stability of multi ...
Figure 1. Neural networks can store and recall information. In a recall task where the desired output pattern is identical to the input pattern, several patterns can ...
1 KNDS Deutschland GmbH & Co. KG, Munich, Germany 2 Institute for Software Technology, University of the Bundeswehr Munich, Neubiberg, Germany Artificial intelligence (AI) has emerged as a ...
ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
Create a fully connected feedforward neural network from the ground up with Python — unlock the power of deep learning! New details in Charlie Kirk shooting as his widow breaks her silence Trump ...