stochastic algorithm造句
例句与造句
- studies on the convergence of stochastic algorithm for the constant step size
型随机算法收敛性分析 - a riemannian geometry underlying stochastic algorithm for adaptive principal component analysis
主成分分析的一个黎曼几何随机算法 - a riemannian geometry underlying stochastic algorithm for log-optimal portfolio problem with risk control
最优投资组合问题的一个黎曼几何随机算法 - in the front part of this paper we discussed the chemical reaction quantitive calculation's determinate algorithm and stochastic algorithm
本文的前面详细的讨论了虚拟细胞中化学反应定量计算的确定型算法和随机型算法。 - by presenting the mathemetical base and computational flow, two kind stochastic algorithms : genetic algorithm and simulated annealing algorithm are discussed
首先，从高性能优化算法着手，研究遗传算法和模拟退火这两种优化算法的数学基础和计算流程。 - It's difficult to find stochastic algorithm in a sentence. 用stochastic algorithm造句挺难的
- because the stochastic algorithm depends much on the random number generator, we also introduce how to implement all kinds of generator in detail . the non-essa has their application range
由于随机型算法对随机数产生器有较大的依赖,在论述随机型算法时介绍了随机型算法中用到各种随机数产生器的实现方法。 - however, the weakness of the stochastic algorithm is the slow convergence speed . therefore, how to improve the convergence speed of the stochastic algorithm is the main task in the research of electromagnetic inverse problems
但是随机类优化算法的弱点是收敛速度太慢，故如何改进这类算法以提高其收敛速度，是当前电磁场逆问题优化算法研究的热点。 - however, the weakness of the stochastic algorithm is the slow convergence speed . therefore, how to improve the convergence speed of the stochastic algorithm is the main task in the research of electromagnetic inverse problems
但是随机类优化算法的弱点是收敛速度太慢，故如何改进这类算法以提高其收敛速度，是当前电磁场逆问题优化算法研究的热点。 - the flow scheme of the complex separation could be expressed directly by using gp's special hierarchical structure and the problem of different meanings encountered by other stochastic algorithms for expressing distillation system could be solved
算法利用层次化结构来直观地表达复杂分离流程，同时解决了其他随机算法编码在表达精馏过程时的歧意性问题。 - in this paper we give the floor limit of and dispose it when gets below the floor limit . because determinate algorithm has high speed low precision and stochastic algorithm has high precision low speed, we should intergrate them in a complicated system
本文提出了对非精确算法的改进,给出了非精确随机算法值的下限公式,并对其越下限情况作出了处理。 - as to the stochastic simulation of stochastic biological processes, if only use stochastic petri net, although it has standard graphics expression, which is isomorphic to markov chain, along with the increase of models ’ scale and complexity, the number of states will increase exponentially, so it is very difficult to analyze models by the method which stochastic petri net has; if only use stochastic algorithm, which has rapid simulation speed, but lack of intuitive graphical expression
对于随机生物过程的模拟,如果只采用随机petri网模拟生物随机过程,其优点是形象、直观,缺点是随着模型的规模和复杂性的增加,状态的数量呈指数性地增长,出现模型状态空间的爆炸问题,用随机petri网本身的分析方法很难分析整个系统的性能;如果只采用随机模拟算法模拟,其优点是速度较快,但是缺少形象的图形表达,不利于模拟技术的应用。 - develop a stochastic simulation platform with the stochastic algorithm, and obtain good results after comparing with data achieved with other platform . as the experiment shows, it is feasible to use stochastic petri net as the expression of biological processes in the front-end, and use gillespie-gibson algorithm to perform the simulation processes in the back-end
开发了基于随机模拟算法的随机模拟平台,并通过两个生物模型实例进行实际模拟,实验表明,前台采用petri网的方法进行生物过程直观描述,后台采用快速的gillespie-gibson随机模拟算法模拟是可行的。