Physical restriction neural networks with restarting strategy for solving mathematical model of thermal heat equation for early diagnose breast cancer

DOI10.1016/J.RINAM.2023.100384MaRDI QIDQ6084979

Nur Fadhilah Ibrahim, Danang Adi Pratama, Norizan Mohamed, Maharani Abu Bakar, Ruwaidiah Idris

Publication date: 2 December 2023

Published in: Results in Applied Mathematics (Search for Journal in Brave)

zbMATH Keywords

breast cancerrestartingPINNAdamPDE thermal analysis

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Partial differential equations of mathematical physics and other areas of application (35Qxx)

Cites Work

• Unnamed Item
• Numerical solution for high order differential equations using a hybrid neural network-optimization method
• Machine learning in cardiovascular flows modeling: predicting arterial blood pressure from non-invasive 4D flow MRI data using physics-informed neural networks
• Enhanced fifth order WENO shock-capturing schemes with deep learning
• Adaptive activation functions accelerate convergence in deep and physics-informed neural networks
• Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
• A Primer on Neural Network Models for Natural Language Processing
• Learning and meta-learning of stochastic advection–diffusion–reaction systems from sparse measurements

This page was built for publication: Physical restriction neural networks with restarting strategy for solving mathematical model of thermal heat equation for early diagnose breast cancer