Intelligent Algorithms Analysis and Judgments Based on Thermodynamics

GUO Ben-jun; HUANG Jian; CHEN Dong-dong; WANG Peng

Chinese

您当前的位置：

首页 >

文章列表页 >

Intelligent Algorithms Analysis and Judgments Based on Thermodynamics

更新时间：2026-09-04

- Intelligent Algorithms Analysis and Judgments Based on Thermodynamics
- Vol. 27, Issue 12, Pages: 74-77(2010)
- 作者机构：
  
  成都信息工程学院软件工程学院,四川,成都,610225
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
移动端阅览
郭本俊, 黄健, 陈东东, 王鹏. 基于热力学的智能算法分析与判定[J]. 微电子学与计算机, 2010, 27(12): 74-77.

GUO Ben-jun, HUANG Jian, CHEN Dong-dong, et al. Intelligent Algorithms Analysis and Judgments Based on Thermodynamics[J]. 2010, 27(12): 74-77.
郭本俊, 黄健, 陈东东, 王鹏. 基于热力学的智能算法分析与判定[J]. 微电子学与计算机, 2010, 27(12): 74-77. DOI：

GUO Ben-jun, HUANG Jian, CHEN Dong-dong, et al. Intelligent Algorithms Analysis and Judgments Based on Thermodynamics[J]. 2010, 27(12): 74-77. DOI：

摘要

分析和研究了热力学熵及信息熵

指出信息和热力学之间的内在关联

并利用耗散结构理论和隐含并行性分析智能算法的热力学本质

得出热力学与计算机算法的能耗、隐含并行性、智能性之间的内在联系

得出智能算法的能耗即为缺损的能量的结论

可以用热力学观点来分析与判定热力学算法性能.最后用相同规模算法和不同规模算法热力学特性实验分析验证智能算法性能评判结论

对智能算法的研究给出新的启示.

Abstract

The article analyzes and researches thermodynamics entropy and information entropy to point out the internal relation between information and thermodynamics

it also utilize dissipative structure theory and implicit parallelism to analyze thermodynamic essence of intelligent algorithms

then get the internal relation between thermodynamics and energy consumption of computer algorithms

implicit parallelism

intelligent algorithms

and get the conclusion that energy consumption of intelligent algorithms is lost energy.Finally

thermodynamic characteristic test of same scale algorithms and different scale algorithms is utilized to analyze and verify performance of intelligent algorithms and judge conclusion

which offers a new inspiration to research of intelligent algorithm.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on the design of blockchain-based AI-generated content traceability framework

Steganography model guided by attention mechanism and improved dense convolution

Implementation and verification of a dual-chain power gating strategy for low power design

Lightweight countermeasures against Spectre attacks on the branch prediction unit

Aerial small object detection algorithm based on improved RT-DETR

Related Author

No data

Related Institution

No data

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰