Filtering of noisy magnetotelluric signals by SOM neural networks
Sign Up to like & getrecommendations! Published in 2018 at "Physics of the Earth and Planetary Interiors"
DOI: 10.1016/j.pepi.2018.10.004
Abstract: Abstract This work presents a systematic study for testing the effectiveness of Self-Organizing Map (SOM) neural networks in filtering magnetotelluric (MT) data affected by cultural noise. Although the MT method is widely used for geophysical… read more here.
Keywords: noisy magnetotelluric; neural networks; impedance; networks filtering ... See more keywords
PathDetect-SOM: A Neural Network Approach for the Identification of Pathways in Ligand Binding Simulations
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Chemical Theory and Computation"
DOI: 10.1021/acs.jctc.1c01163
Abstract: Understanding the process of ligand–protein recognition is important to unveil biological mechanisms and to guide drug discovery and design. Enhanced-sampling molecular dynamics is now routinely used to simulate the ligand binding process, resulting in the… read more here.
Keywords: tool; pathdetect som; ligand binding; network approach ... See more keywords
Research on Clustering Algorithm Based on Improved SOM Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1482250
Abstract: Clustering algorithm is a statistical method to study sample classification. With the rapid development of science and technology, people have higher and higher requirements for data classification, so there are more and more researches on… read more here.
Keywords: neural network; network; improved som; network algorithm ... See more keywords