Solving partial differential equation based on Bernstein neural network and extreme learning machine algorithm
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 …
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 …
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 …
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 …
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-…
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
To provide a new numerical algorithm for solving elliptic partial differential equations (PDEs),
the Legendre neural network (LNN) and improved extreme learning machine (IELM) …
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
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 …
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
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 …
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 …
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. …
dysfunction of islets or receptors of insulin, and it has a high disability and mortality rate. …