利用 ANN 工具研究硬脂酸丁酯的亲水行为

IF 1.1 3区计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Network-Computation in Neural Systems Pub Date : 2024-09-11 DOI:10.1080/0954898x.2024.2393751

Chinnakannu Jayakumar, Venkatesan Sampath Kumar, Chathurappan Raja, Dharmendira Kumar Mahendradas

引用次数: 0

摘要

本研究利用人工神经网络（ANN）对硬脂酸丁酯在柠檬酸、尿素和烟酰胺溶液中的热物理性质进行了预测。人工神经网络模式...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Study the hydrotropic behaviour of butyl stearate using ANN tools

This study investigates the prediction of the thermophysical properties of butyl stearate in solutions with citric acid, urea, and nicotinamide using Artificial Neural Networks (ANNs). The ANN mode...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Network-Computation in Neural Systems 工程技术-工程：电子与电气

CiteScore

3.70

自引率

1.30%

发文量

审稿时长

>12 weeks

期刊介绍： Network: Computation in Neural Systems welcomes submissions of research papers that integrate theoretical neuroscience with experimental data, emphasizing the utilization of cutting-edge technologies. We invite authors and researchers to contribute their work in the following areas: Theoretical Neuroscience: This section encompasses neural network modeling approaches that elucidate brain function. Neural Networks in Data Analysis and Pattern Recognition: We encourage submissions exploring the use of neural networks for data analysis and pattern recognition, including but not limited to image analysis and speech processing applications. Neural Networks in Control Systems: This category encompasses the utilization of neural networks in control systems, including robotics, state estimation, fault detection, and diagnosis. Analysis of Neurophysiological Data: We invite submissions focusing on the analysis of neurophysiology data obtained from experimental studies involving animals. Analysis of Experimental Data on the Human Brain: This section includes papers analyzing experimental data from studies on the human brain, utilizing imaging techniques such as MRI, fMRI, EEG, and PET. Neurobiological Foundations of Consciousness: We encourage submissions exploring the neural bases of consciousness in the brain and its simulation in machines.