Titlebook: Intelligent Systems Modeling and Simulation II; Machine Learning, Ne Samsul Ariffin Abdul Karim Book 2022 The Editor(s) (if applicable) and

牛马之尿

LVAD360

Heat Transfer Modelling with Physics-Informed Neural Network (PINN),of pollutants, and many other physical phenomena. However, to simulate such phenomena requires tremendous computational power, and it increases with the number of parameters. In this chapter, we will explore the application of the Physics-Informed Neural Network (PINN) in solving heat equation with

外来

An Overview on Deep Learning Techniques in Solving Partial Differential Equations, number of parameters cannot be handled easily. Owing to the rapid growth of accessible data and computing expedients, recent developments in deep learning techniques for the solution of (PDEs) have yielded outstanding results on distinctive problems. In this chapter, we give an overview on diverse

climax

Cultivate

鸵鸟

分贝

insular

Data-Driven Macro-economic Model Analysis Using Non-standard Trimean Algorithm,g the simulation behavior will also assist the policymaker in planning strategy for the country’s well-being. This study analyzes the type of relationship between two macro-economic variables for the Malaysian data set and predicts the value of both macro-economic variables. The selected macro-econo

fiscal

Occlusion

Data Interpolation Using Rational Cubic Ball with Three Parameters,ameters can be used to refine the interpolating curve as well as to obtain the best approximation in error estimation. This scheme was tested by interpolate data from the true function. To improve the accuracy, a new method to estimate the first derivative is proposed as it is significant in curve i