造句练习(1)

1. Given Given the bad weather,we decided to give up our primary plan.

2.Statemant financial statement 财务报表

3.Vary The sample varied in quality

4.Teacher show concern for the student.

5.As far as…be concerned 就……而言 As far as i am concerned.

6.at the expense of 以…….为代价 cut down/ reduce expense

7. be composed of ….. The committee was composed of ten menmbers

8. for successive years 连年

9. contribute give money in order to help achieve or provide something Gases that contribute to global warming./ Contribute articles to the magazine.

10. individual preparing the research paper is an active and individual process.

11. management Human Resource management

12. Apply to sb 适合某人 The same standards that apply to food additives./ apply for sth 申请….. apply for a place in the state University.

13. promote The meeting will promote trade between China and America

14. avail 1.to make use of something useful or helpful while you have the opportunity 2.help or benifit avail someone nothing be of no help at all to someone This protest availed her nothing.

15.maintain Many environmentalists maintain the view that conservation has much to do with self-denial.

16. performance

17. benefit from 从……中受益 The famous enterpriser didn’t get much benefit from school .to the benifite of ……为了…..的利益

105. Some hope his rise to prominence would have a big impact on white Americans ,too, challenge those who still harbour racist sentiments.

内容概要:本文系统介绍了算术优化算法(AOA)的基本原理、核心思想及Python实现方法,并通过图像分割的实际案例展示了其应用价值。AOA是一种基于种群的元启发式算法,其核心思想来源于四则运算,利用乘除运算进行全局勘探,加减运算进行局部开发,通过数学优化器加速函数(MOA)和数学优化概率(MOP)动态控制搜索过程,在全局探索与局部开发之间实现平衡。文章详细解析了算法的初始化、勘探与开发阶段的更新策略,并提供了完整的Python代码实现,结合Rastrigin函数进行测试验证。进一步地,以Flask框架搭建前后端分离系统,将AOA应用于图像分割任务,展示了其在实际工程中的可行性与高效性。最后,通过收敛速度、寻优精度等指标评估算法性能,并提出自适应参数调整、模型优化和并行计算等改进策略。; 适合人群:具备一定Python编程基础和优化算法基础知识的高校学生、科研人员及工程技术人员,尤其适合从事人工智能、图像处理、智能优化等领域的从业者;; 使用场景及目标:①理解元启发式算法的设计思想与实现机制;②掌握AOA在函数优化、图像分割等实际问题中的建模与求解方法;③学习如何将优化算法集成到Web系统中实现工程化应用;④为算法性能评估与改进提供实践参考; 阅读建议:建议读者结合代码逐行调试,深入理解算法流程中MOA与MOP的作用机制,尝试在不同测试函数上运行算法以观察性能差异,并可进一步扩展图像分割模块,引入更复杂的预处理或后处理技术以提升分割效果。
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