IEEE

Adaptive Neural Network Optimal Backstepping Control of Strict Feedback Nonlinear Systems via Reinforcement Learning

Abstract: In nonlinear control, barrier Lyapunov function is frequently utilized to handle state constraints; however, a feasibility condition for virtual signals often needs to be verified. In ...
Deep Learning with Yacine on MSN

How to implement linear regression in C++ step by step

Learn how to build a simple linear regression model in C++ using the least squares method. This step-by-step tutorial walks ...
Learn With Jay on MSN

Linear regression using gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...
IEEE

Communication Base Station Traffic Prediction Based on Nonlinear Regression-LSTM Decomposition Algorithm

Abstract: Communication base station traffic prediction can help network service providers predict the peak hours of network traffic, so as to carry out network expansion and load balancing in advance ...