• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

信息论方法在化学计算机进化优化中的应用。

Applications of Information Theory Methods for Evolutionary Optimization of Chemical Computers.

作者信息

Gorecki Jerzy

机构信息

Institute of Physical Chemistry, Polish Academy of Sciences, Kasprzaka 44/52, 01-224 Warsaw, Poland.

出版信息

Entropy (Basel). 2020 Mar 10;22(3):313. doi: 10.3390/e22030313.

DOI:10.3390/e22030313
PMID:33286087
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7516772/
Abstract

It is commonly believed that information processing in living organisms is based on chemical reactions. However, the human achievements in constructing chemical information processing devices demonstrate that it is difficult to design such devices using the bottom-up strategy. Here I discuss the alternative top-down design of a network of chemical oscillators that performs a selected computing task. As an example, I consider a simple network of interacting chemical oscillators that operates as a comparator of two real numbers. The information on which of the two numbers is larger is coded in the number of excitations observed on oscillators forming the network. The parameters of the network are optimized to perform this function with the maximum accuracy. I discuss how information theory methods can be applied to obtain the optimum computing structure.

摘要

人们普遍认为,生物体中的信息处理是基于化学反应的。然而,人类在构建化学信息处理设备方面的成果表明,使用自下而上的策略来设计此类设备是困难的。在此,我讨论一种执行选定计算任务的化学振荡器网络的替代自上而下设计。作为一个例子,我考虑一个简单的相互作用化学振荡器网络,它作为两个实数的比较器运行。关于这两个数中哪个更大的信息被编码在构成网络的振荡器上观察到的激发次数中。对网络的参数进行优化,以最高精度执行此功能。我讨论了如何应用信息论方法来获得最佳计算结构。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/17ef13fb3e0e/entropy-22-00313-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/5e68dc751e94/entropy-22-00313-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/b955f450729a/entropy-22-00313-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/fc82d2d07f0b/entropy-22-00313-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/b19cbe7fb3a8/entropy-22-00313-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/bedc7ffcacb0/entropy-22-00313-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/49d0d7163ba5/entropy-22-00313-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/fa890ae53b68/entropy-22-00313-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/17ef13fb3e0e/entropy-22-00313-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/5e68dc751e94/entropy-22-00313-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/b955f450729a/entropy-22-00313-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/fc82d2d07f0b/entropy-22-00313-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/b19cbe7fb3a8/entropy-22-00313-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/bedc7ffcacb0/entropy-22-00313-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/49d0d7163ba5/entropy-22-00313-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/fa890ae53b68/entropy-22-00313-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49e6/7516772/17ef13fb3e0e/entropy-22-00313-g008.jpg

相似文献

1
Applications of Information Theory Methods for Evolutionary Optimization of Chemical Computers.信息论方法在化学计算机进化优化中的应用。
Entropy (Basel). 2020 Mar 10;22(3):313. doi: 10.3390/e22030313.
2
Computing With Networks of Chemical Oscillators and its Application for Schizophrenia Diagnosis.基于化学振荡器网络的计算及其在精神分裂症诊断中的应用。
Front Chem. 2022 Feb 16;10:848685. doi: 10.3389/fchem.2022.848685. eCollection 2022.
3
Information Processing Using Networks of Chemical Oscillators.利用化学振荡器网络进行信息处理
Entropy (Basel). 2022 Jul 31;24(8):1054. doi: 10.3390/e24081054.
4
How Does a Simple Network of Chemical Oscillators See the Japanese Flag?一个简单的化学振荡器网络如何识别日本国旗?
Front Chem. 2020 Nov 9;8:580703. doi: 10.3389/fchem.2020.580703. eCollection 2020.
5
Chemical computing with reaction-diffusion processes.化学反应-扩散过程的化学计算。
Philos Trans A Math Phys Eng Sci. 2015 Jul 28;373(2046). doi: 10.1098/rsta.2014.0219.
6
Cancer classification with a network of chemical oscillators.基于化学振荡器网络的癌症分类
Phys Chem Chem Phys. 2017 Nov 1;19(42):28808-28819. doi: 10.1039/c7cp05655a.
7
The Concilium of Information Processing Networks of Chemical Oscillators for Determining Drug Response in Patients With Multiple Myeloma.用于确定多发性骨髓瘤患者药物反应的化学振荡器信息处理网络会议
Front Chem. 2022 Jul 8;10:901918. doi: 10.3389/fchem.2022.901918. eCollection 2022.
8
Understanding Networks of Computing Chemical Droplet Neurons Based on Information Flow.基于信息流理解计算液滴神经元网络。
Int J Neural Syst. 2015 Nov;25(7):1450032. doi: 10.1142/S0129065714500324. Epub 2014 Dec 4.
9
Evolutionary Design of Classifiers Made of Droplets Containing a Nonlinear Chemical Medium.液滴内含非线性化学介质的分类器的进化设计。
Evol Comput. 2017 Winter;25(4):643-671. doi: 10.1162/EVCO_a_00197. Epub 2016 Oct 11.
10
The Synthetic Moth: A Neuromorphic Approach toward Artificial Olfaction in Robots合成蛾:一种用于机器人人工嗅觉的神经形态方法

引用本文的文献

1
Information Processing Using Networks of Chemical Oscillators.利用化学振荡器网络进行信息处理
Entropy (Basel). 2022 Jul 31;24(8):1054. doi: 10.3390/e24081054.
2
Computing With Networks of Chemical Oscillators and its Application for Schizophrenia Diagnosis.基于化学振荡器网络的计算及其在精神分裂症诊断中的应用。
Front Chem. 2022 Feb 16;10:848685. doi: 10.3389/fchem.2022.848685. eCollection 2022.
3
Information and Statistical Measures in Classical vs. Quantum Condensed-Matter and Related Systems.经典与量子凝聚态物质及相关系统中的信息与统计度量

本文引用的文献

1
Fabrication of New Belousov-Zhabotinsky Micro-Oscillators on the Basis of Silica Gel Beads.基于硅胶珠的新型别洛乌索夫-扎鲍廷斯基微振荡器的制作。
J Phys Chem A. 2020 Jan 16;124(2):272-282. doi: 10.1021/acs.jpca.9b09127. Epub 2020 Jan 3.
2
Chemical Wave Propagation in the Belousov-Zhabotinsky Reaction Controlled by Electrical Potential.由电势控制的贝洛索夫-扎博廷斯基反应中的化学波传播
J Phys Chem A. 2019 Jun 13;123(23):4853-4857. doi: 10.1021/acs.jpca.9b02636. Epub 2019 May 29.
3
Cancer classification with a network of chemical oscillators.
Entropy (Basel). 2020 Jun 10;22(6):645. doi: 10.3390/e22060645.
4
How Does a Simple Network of Chemical Oscillators See the Japanese Flag?一个简单的化学振荡器网络如何识别日本国旗?
Front Chem. 2020 Nov 9;8:580703. doi: 10.3389/fchem.2020.580703. eCollection 2020.
基于化学振荡器网络的癌症分类
Phys Chem Chem Phys. 2017 Nov 1;19(42):28808-28819. doi: 10.1039/c7cp05655a.
4
Chemical memory with states coded in light controlled oscillations of interacting Belousov-Zhabotinsky droplets.化学记忆,其状态由相互作用的贝洛索夫-扎博廷斯基液滴的光控振荡编码。
Phys Chem Chem Phys. 2017 Mar 1;19(9):6519-6531. doi: 10.1039/c6cp07492h.
5
Evolutionary Design of Classifiers Made of Droplets Containing a Nonlinear Chemical Medium.液滴内含非线性化学介质的分类器的进化设计。
Evol Comput. 2017 Winter;25(4):643-671. doi: 10.1162/EVCO_a_00197. Epub 2016 Oct 11.
6
Microfluidic platform for reproducible self-assembly of chemically communicating droplet networks with predesigned number and type of the communicating compartments.用于具有预先设计的连通隔室数量和类型的化学通信液滴网络可重复自组装的微流控平台。
Lab Chip. 2016 Feb 21;16(4):764-72. doi: 10.1039/c5lc01526j. Epub 2016 Jan 20.
7
Understanding Networks of Computing Chemical Droplet Neurons Based on Information Flow.基于信息流理解计算液滴神经元网络。
Int J Neural Syst. 2015 Nov;25(7):1450032. doi: 10.1142/S0129065714500324. Epub 2014 Dec 4.
8
Information coding with frequency of oscillations in Belousov-Zhabotinsky encapsulated disks.别洛索夫-扎博京斯基封装盘中振荡频率的信息编码
Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Apr;89(4):042910. doi: 10.1103/PhysRevE.89.042910. Epub 2014 Apr 17.
9
Logical and arithmetic circuits in Belousov-Zhabotinsky encapsulated disks.别洛索夫-扎博京斯基封装盘中的逻辑和算术电路。
Phys Rev E Stat Nonlin Soft Matter Phys. 2011 Nov;84(5 Pt 2):056110. doi: 10.1103/PhysRevE.84.056110. Epub 2011 Nov 23.
10
An introduction to simulated evolutionary optimization.模拟进化优化简介。
IEEE Trans Neural Netw. 1994;5(1):3-14. doi: 10.1109/72.265956.