Results 1 to 10 of about 9,482,218 (334)

A multi-energy load prediction of a building using the multi-layer perceptron neural network method with different optimization algorithms

Energy Exploration & Exploitation, 2023
Since cooling and heating loads are recognized as key characteristics for evaluating the energy efficiency of buildings, it appears indisputable that they must be predicted and analyzed for residential structures.
Zhongzhen Yan, Xinyuan Zhu, Xianglong Wang, Zhiwei Ye, Feng Guo, Lei Xie, Guiju Zhang   +6 more
doaj   +3 more sources

XAI-driven CatBoost multi-layer perceptron neural network for analyzing breast cancer [PDF]

Scientific Reports
Early diagnosis of breast cancer is exceptionally important in signifying the treatment results, of women’s health. The present study outlines a novel approach for analyzing breast cancer data by using the CatBoost classification model with a multi-layer
P. Naga Srinivasu, G. Jaya Lakshmi, Abhishek Gudipalli, Sujatha Canavoy Narahari, Jana Shafi, Marcin Woźniak, Muhammad Fazal Ijaz   +6 more
doaj   +3 more sources

Probabilistic Approach to COVID-19 Data Analysis and Forecasting Future Outbreaks Using a Multi-Layer Perceptron Neural Network. [PDF]

Diagnostics (Basel), 2022
The present outbreak of COVID-19 is a worldwide calamity for healthcare infrastructures. On a daily basis, a fresh batch of perplexing datasets on the numbers of positive and negative cases, individuals admitted to hospitals, mortality, hospital beds ...
Khan RU, Almakdi S, Alshehri M, Kumar R, Ali I, Hussain SM, Haq AU, Khan I, Ullah A, Uddin MI.   +9 more
europepmc   +2 more sources

Multi-layer perceptron neural network-based algorithm for automatic external defibrillator [PDF]

Europace
Background Traditional rule-based automatic external defibrillator (AED) algorithms encounter difficulties in accurately classifying electrocardiograms (ECGs) in the borderline area.
N. Yoon, S. Hong, B. Lee
europepmc   +2 more sources

Optimized multi layer perceptron artificial neural network based fault diagnosis of induction motor using vibration signals

Diagnostyka, 2021
Installations and the detection of their faults has become a major challenge. In order to develop a reliable approach for monitoring and diagnosis faults of these components, a test rig was mounted.
Khoualdia Tarek, lakehal Abdelaziz, Chelli Zoubir, Khoualdia Kais, Nessaib Karim   +4 more
doaj   +2 more sources

Respiratory signal prediction based on adaptive boosting and multi-layer perceptron neural network. [PDF]

Phys Med Biol, 2017
To improve the prediction accuracy of respiratory signals using adaptive boosting and multi-layer perceptron neural network (ADMLP-NN) for gated treatment of moving target in radiation therapy.
Sun WZ, Jiang MY, Ren L, Dang J, You T, Yin FF.   +5 more
europepmc   +2 more sources

High-Efficiency Lossy Source Coding Based on Multi-Layer Perceptron Neural Network [PDF]

Entropy
With the rapid growth of data volume in sensor networks, lossy source coding systems achieve high–efficiency data compression with low distortion under limited transmission bandwidth.
Yuhang Wang, Weihua Chen, Linjing Song, Zhiping Xu, Dan Song, Lin Wang   +5 more
doaj   +2 more sources

Forecasting Stock Prices Using a Hybrid Deep Learning Model Integrating Attention Mechanism, Multi-Layer Perceptron, and Bidirectional Long-Short Term Memory Neural Network

IEEE Access, 2020
Stock prices forecasting is a topic research in the fields of investment and national policy, which has been a challenging problem owing to the multi-noise, nonlinearity, high-frequency, and chaos of stocks.
Qian Chen, Wenyu Zhang, Yu Lou
doaj   +2 more sources

Machine learning-assisted computation of the solubility of solid drugs in supercritical carbon dioxide [PDF]

Frontiers in Chemistry
This research applies three types of machine learning models, i.e., artificial neural network models (radial basis function, multi-layer perceptron, cascade feed-forward, and Elman recurrent neural networks), adaptive neuro-fuzzy inference systems, and ...
Wenrui Ban, Bing Zhang, Chuying Wang, Yuxing Zhang, Zhiqiang Cheng, Haoyu Wang, Zheng Zhu   +6 more
doaj   +2 more sources

An Automated MR Image Segmentation System Using Multi-layer Perceptron Neural Network [PDF]

Journal of Biomedical Physics and Engineering, 2013
Background: Brain tissue segmentation for delineation of 3D anatomical structures from magnetic resonance (MR) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis ...
Amiri S, Movahedi MM, Kazemi K, Parsaei H   +3 more
doaj   +1 more source