Visual Studio Magazine

Linear Regression with Pseudo-Inverse Training Using JavaScript

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
IEEE

Deep Recurrent Stochastic Configuration Networks for Modelling Nonlinear Dynamic Systems

Abstract: Deep learning techniques have shown promise in various domains. However, traditional methods can only demonstrate their universal approximation capability from an existential perspective, ...
GitHub

Using Powerful Prior Knowledge of Diffusion Model in Deep Unfolding Networks for Image Compressive Sensing

1 School of Electronic and Information Engineering, Beijing Jiaotong University, China 2 School of Automation and Intelligence, Beijing Jiaotong University, China Recently, Deep Unfolding Networks ...
IEEE

Differentiable Distribution Model of Stochastic Volatile Memristor-Based Neuron

Abstract: Volatile memristors have received extensive attention in neuromorphic computing. It is of significance to build compact models of these devices for neuromorphic hardware design. In this work ...
Frontiers

Prediction of Thin Sand body Reservoirs using Facies Model-Constrained Stochastic Optimization Inversion

The final, formatted version of the article will be published soon. Abstract—Globally, subtle hydrocarbon reservoirs in petrolifer ous basins have always been challenging targets for exploration r ...