The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...

In this video, we will see What is Activation Function in Neural network, types of Activation function in Neural Network, why to use an Activation Function and which Activation function to use. The ...

ABSTRACT: Recently, regression artificial neural networks are used to model various systems that have high dimensionality with nonlinear relations. The system under study must have enough dataset ...

A graphical user interface for creating "DeepDream" images. Uses Mathworks' pretrained convolutional neural networks. Requires Neural Network Toolbox and AlexNet support package.

Abstract: Background/Objectives: Organizing large amount of data is the biggest challenge in domains of data mining. One way to deal with these kind of issues is by grouping data taking into account ...

Abstract: Aimed at the bulky nonlinear temperature system with time-delay, a DFOPDT model is established. The relation between the classical model and the disperse model of the system is deduced. An ...