Implementation of Neural Networks for the Identification of Single Molecules

Benjamin P. Bowen; Allan Scruggs; Jorg Enderlein; Markus Sauer; Neal Woodbury

首页> 外文期刊>The journal of physical chemistry, A. Molecules, spectroscopy, kinetics, environment, & general theory >Implementation of Neural Networks for the Identification of Single Molecules

【24h】

Implementation of Neural Networks for the Identification of Single Molecules

机译：神经网络用于单分子鉴定的实现

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

The effectiveness of neural networks and the optimization of parameters for implementing neural networks were evaluated for use in the identification of single molecules according to their fluorescence lifetime. The best network architecture and training parameters were determined for both ideal and nonideal single-molecule fluorescence data. The effectiveness of the neural network is compared to that of the maximum likelihood estimator on the basis of its ability to correctly identify single molecules. For ideal single-molecule data, it was found that the neural networks and the maximum likelihood estimator perform approximately equally well. For nonideal single-molecule fluorescence data, neural networks were able to correctly identify a larger percentage of single-molecule events than the MLE method.

机译：评价了神经网络的有效性和用于实现神经网络的参数优化，以根据其荧光寿命来鉴定单分子。确定了理想和非理想单分子荧光数据的最佳网络架构和训练参数。根据神经网络正确识别单个分子的能力，将其与最大似然估计器的有效性进行比较。对于理想的单分子数据，发现神经网络和最大似然估计器的性能大致相同。对于非理想的单分子荧光数据，与MLE方法相比，神经网络能够正确识别更大比例的单分子事件。

著录项

来源
《The journal of physical chemistry, A. Molecules, spectroscopy, kinetics, environment, & general theory》 |2004年第21期|共6页
作者
Benjamin P. Bowen; Allan Scruggs; Jorg Enderlein; Markus Sauer; Neal Woodbury;
展开▼
作者单位

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. Implementation of Neural Networks for the Identification of Single Molecules [J] . Benjamin P. Bowen, Allan Scruggs, Jorg Enderlein, The journal of physical chemistry, A. Molecules, spectroscopy, kinetics, environment, & general theory . 2004,第21期

机译：神经网络用于单分子鉴定的实现
2. Recognition and Identification by Timbre of a Living Creature's Voice Based on Trainable Neural Networks in Real-Time Mode and Their Implementation in the Intelligent System ?Neurocyber? [J] . Anton Gafurov, Oleg Gafurov MATEC Web of Conferences . 2018,第1期

机译：Timbre对基于实时可训练神经网络的生物的语音进行识别和识别，并在智能系统“神经网络”中实现。
3. Lattice Dynamical Wavelet Neural Networks Implemented Using Particle Swarm Optimization for Spatio–Temporal System Identification [J] . Hua-Liang Wei, Billings S.A., Yifan Zhao, IEEE Transactions on Neural Networks . 2009,第1期

机译：基于粒子群优化的时空系统辨识的格子动态小波神经网络
4. Single trial P300 identification for an auditory BCI: Implementation of a 3D input for convolutional neural networks [C] . Eduardo Carabez, Miho Sugi, Isao Nambu, 2017 IEEE International Conference on Systems, Man, and Cybernetics . 2017

机译：听觉BCI的单次P300识别：卷积神经网络的3D输入实现
5. Probing biological systems at the single molecule level: Studies of the homophilic binding of the neural cell adhesion molecule (NCAM) and phase dependent lipid anchorage strength. [D] . Wieland, Julie A. 2005

机译：在单分子水平上探测生物系统：研究神经细胞粘附分子（NCAM）的同质结合和相依性脂质锚定强度。
6. Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data [O] . Numan Celik, Fiona O’Brien, Sean Brennan, 2020

机译：深度通道使用深度神经网络从膜片钳数据检测单分子事件
7. Implementation of neural networks for the identification of single molecules [O] . Bowen B. D., Scruggs A., Enderlein J., 2004

机译：神经网络用于识别单分子的实现
8. B-jet and c-jet identification with Neural Networks as well as combination of multivariate analyses for the search for of multivariate analyses for the search for single top-quark production [R] . 2008

机译：使用神经网络进行B射流和c射流识别以及多变量分析的组合，用于搜索单个顶夸克生产的多变量分析

Implementation of Neural Networks for the Identification of Single Molecules

摘要

著录项

相似文献

相关主题

期刊订阅