This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

The proposed pruning method is applied to the first hidden layer of a feed-forward real-valued time-delay neural network, commonly used for DPD purposes. In addition, this paper presents the ANN-based ...

This research proposes a neural network-based super-twisting controller for robot joints. A modified fast non-singular terminal sliding surface is introduced, which not only avoids singularity but ...

A hybrid approach to AI is powering Amazon’s Rufus shopping assistant and cutting-edge warehouse robots.

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

In this research, an advanced convolutional neural network optimization algorithm has been proposed. The accuracy of water yield property prediction is further improved by extracting features with ...