CAN-PINN: a fast physics-informed neural network based on coupled-automatic-numerical differentiation method

CAN-PINN: a fast physics-informed neural network based on coupled-automatic-numerical differentiation method

In this study, novel physics-informed neural network (PINN) methods for coupling neighboring support points and their derivative terms which are obtained by automatic differentiation (AD), are proposed to allow efficient training with improved accuracy. The computation of differential operators requ...

Saved in:

書目詳細資料
Main Authors:	Chiu, Pao-Hsiung, Wong, Jian Cheng, Ooi, Chinchun, Dao, My Ha, Ong, Yew-Soon
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2022
主題:	Engineering::Computer science and engineering Physics-Informed Neural Network Training Loss Formulation
在線閱讀:	https://hdl.handle.net/10356/162602
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

相似書籍

Sequential classification criteria for NNs in automatic speech recognition
由: Wang, G., et al.
出版: (2013)

UNDERSTANDING AND IMPROVING NEURAL ARCHITECTURE SEARCH
由: SHU YAO
出版: (2022)

Incremental ordered neural network training
由: Guan, S.-U., et al.
出版: (2014)

Neuro-adaptive motion control with velocity observer in operational space formulation
由: Soewandito, D.B., et al.
出版: (2014)

A local point interpolation method for static and dynamic analysis of thin beams
由: Gu, Y.T., et al.
出版: (2014)

Indirect determination of dopamine and paracetamol by electrochemical impedance spectroscopy using azo coupling reaction with oxidized 2,4-dinitrophenylhydrazine (DNPH): Application in commercial tablets
由: Boumya, W., et al.
出版: (2020)

Efficient on-chip training of optical neural networks using genetic algorithm
由: Zhang, Hui, et al.
出版: (2021)

PHYSICS-INFORMED NEURAL NETWORK (PINN) AND ITS APPLICATION TO HEAT DISTRIBUTION
由: Alfarino B. P., Michael

PHYSICS-INFORMED NEURAL NETWORK (PINN) AND ITS APPLICATION TO POLLUTANT TRANSPORT
由: Yuki Sutanto, Christopher

Effect of basic military training on hearing in the Singapore Armed Forces
由: Teo, K.J., et al.
出版: (2011)

Formulation of high fiber bakery products and Thai traditional sweets containing soybean hulls
由: Manee Arpanantikul
出版: (2023)

Pseudo-characteristic formulation and dynamic boundary conditions for computational aeroacoustics
由: LU SHANG YI
出版: (2011)

Nanopharmacology of liposomes developed for cancer therapy
由: Muthu, M.S., et al.
出版: (2014)

Aging in Singapore
由: Teo, P.
出版: (2011)

Stability of extemporaneously prepared saquinavir formulations
由: Tan, L.K., et al.
出版: (2014)

Nanopharmacology of liposomes developed for cancer therapy
由: Muthu, M.S., et al.
出版: (2014)

Position manipulation attacks to balise-based train automatic stop control
由: WU, Yongdong, et al.
出版: (2018)

PHYSICS-INFORMED NEURAL NETWORK (PINN) DALAM MENYELESAIKAN KASUS ALIRAN FLUIDA VISKOS
由: Amalinadhi Putra, Cahya

Distortion of a square pulse wave with finite rise time in edge-coupled microstrip lines on LTCC substrate
由: Kang, K., et al.
出版: (2014)

Feature selection for modular networks based on incremental training
由: Guan, S.-U., et al.
出版: (2014)

On the existence of the solution and...variational formulation for the optimiza of the domain in elliptic problem
由: Tran Van Bon
出版: (2017)

Microneedle-assisted topical delivery of photodynamically active mesoporous formulation for combination therapy of deep-seated melanoma
由: Tham, Phoebe Huijun, et al.
出版: (2021)

Synchronising bus bunching to the spikes in service demand reduces commuters' waiting time
由: Vismara, Luca, et al.
出版: (2023)

Protein nanocage-stabilized pickering emulsions
由: Lim, Sierin, et al.
出版: (2022)

Foreign Economic Policy Formulation & Implementation in China: China-ASEAN Free Trade Agreement
由: DU DINGDING
出版: (2010)

Retinoids: Formulation development and efficacy evaluation in melanoma cells
由: LIU XIN
出版: (2010)

Database development and mechanistic study of traditional Chinese medicine by computer
由: WANG JIFENG
出版: (2010)

An incremental approach to contribution-based feature selection
由: Guan, S.-U., et al.
出版: (2014)

Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
由: FENG FULI, et al.
出版: (2020)

Generation of beam profiles from chip-to-free-space coupling using deep neural network
由: Lim, Yu Dian, et al.
出版: (2025)

INVESTIGATION OF APPLYING PHYSICS INFORMED NEURAL NETWORKS (PINN) AND VARIANTS ON 2D AERODYNAMICS PROBLEMS
由: TAY WEE BENG, et al.
出版: (2020)

USING PHYSICS-INFORMED NEURAL NETWORK (PINN) FOR SOLVING DIRECT AND INVERSE HEAT CONDUCTION PROBLEMS
由: Abdul Aziz, Muhamad

DETERMINATING APPROXIMATION SOLUTION OF PARTIAL DIFFERENTIAL EQUATION USING PHYSICS-INFORMED NEURAL NETWORK (PINN)
由: Agnes Priscilla, Cyntia

Self-Healable, Fast Responsive Poly(?-Pentadecalactone) Thermogelling System for Effective Liver Cancer Therapy
由: Shi, H., et al.
出版: (2022)

Adaptive neural network models for automatic incident detection on freeways
由: Srinivasan, D., et al.
出版: (2014)

An incremental approach to contribution - based feature selection
由: LIU JUN
出版: (2011)

Effect of cross training by eccentric isotonic knee extensor training at fast velocity on muscle performance of untrained leg in Thai male
由: Chadapa Boonyoung, et al.
出版: (2013)

Achieving semantic coupling in the domain of high-dimensional video indexing application
由: Mittal, A., et al.
出版: (2013)

Learning to Self-Train for Semi-Supervised Few-Shot Classification
由: Xinzhe Li, et al.
出版: (2020)

Energy harvesting from thermally induced vibrations of antenna panels
由: Yu, Dewen., et al.
出版: (2022)