Solving partial differential equation based on Bernstein neural network and extreme learning machine algorithm

H Sun, M Hou, Y Yang, T Zhang, F Weng… - Neural Processing …, 2019 - Springer
In this paper, we introduce a new method based on Bernstein Neural Network model (BeNN)
and extreme learning machine algorithm to solve the differential equation. In the proposed …

Automatically discriminating and localizing COVID-19 from community-acquired pneumonia on chest X-rays

Z Wang, Y Xiao, Y Li, J Zhang, F Lu, M Hou, X Liu - Pattern recognition, 2021 - Elsevier
The COVID-19 outbreak continues to threaten the health and life of people worldwide. It is an
immediate priority to develop and test a computer-aided detection (CAD) scheme based on …

The multidimensional function approximation based on constructive wavelet RBF neural network

H Muzhou, H Xuli - Applied soft computing, 2011 - Elsevier
For the multidimensional continuous function, using constructive feedforward wavelet RBF
neural network, we prove that a wavelet RBF neural network with n+1 hidden neurons can …

A graph-optimized deep learning framework for recognition of Barrett's esophagus and reflux esophagitis

M Hou, J Wang, T Liu, Z Li, AH Hounye, X Liu… - Multimedia Tools and …, 2024 - Springer
Barrett’s esophagus (BE) recognition is essential for the diagnosis of esophageal
adenocarcinoma (EAC), a highly fatal disease when left untreated at earlier stages of cancer …

Gold price forecasting research based on an improved online extreme learning machine algorithm

F Weng, Y Chen, Z Wang, M Hou, J Luo… - Journal of Ambient …, 2020 - Springer
Accurate gold price prediction is highly essential for economic and currency markets. Thus,
the intelligence prediction models need to be applied to price prediction. On the basis of long-…

Neural network algorithm based on Legendre improved extreme learning machine for solving elliptic partial differential equations

Y Yang, M Hou, H Sun, T Zhang, F Weng, J Luo - Soft Computing, 2020 - Springer
To provide a new numerical algorithm for solving elliptic partial differential equations (PDEs),
the Legendre neural network (LNN) and improved extreme learning machine (IELM) …

Efficient predictor of pressurized water reactor safety parameters by topological information embedded convolutional neural network

M Hou, W Lv, M Kong, R Li, Z Liu, D Wang… - Annals of Nuclear …, 2023 - Elsevier
Accurate forecasts for pressurized water reactor safety parameters are essential to ensure
the safe operation of nuclear reactors. Potential of artificial neural networks on this task is …

A new constructive neural network method for noise processing and its application on stock market prediction

L Xi, H Muzhou, MH Lee, J Li, D Wei, H Hai, Y Wu - Applied Soft Computing, 2014 - Elsevier
In this paper, in order to optimize neural network architecture and generalization, after analyzing
the reasons of overfitting and poor generalization of the neural networks, we presented …

New theoretical ISM-K2 Bayesian network model for evaluating vaccination effectiveness

X Xie, B Xie, D Xiong, M Hou, J Zuo, G Wei… - Journal of Ambient …, 2023 - Springer
Aiming at the difficulty in obtaining a complete Bayesian network (BN) structure directly
through search-scoring algorithms, authors attempted to incorporate expert judgment and …

Nested segmentation and multi-level classification of diabetic foot ulcer based on mask R-CNN

…, Z Wang, J Ou, J Wang, AH Hounye, M Hou… - Multimedia Tools and …, 2023 - Springer
A diabetic foot ulcer(DFU) is a common chronic complication of diabetes because of the
dysfunction of islets or receptors of insulin, and it has a high disability and mortality rate. …