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biologic evolution中文是什么意思

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用"biologic evolution"造句"biologic evolution"怎么读"biologic evolution" in a sentence

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  • 生物进化

例句与用法

  • Genetic algorithm ( ga ) simulating biologic evolution mechanism is stochastic - like search method
    遗传算法是模拟生物进化机制而发展起来的随机化搜索算法。
  • In the new plan , the position of the studied strata in the stratigraphic column of late precambrian of china shows an impotant relation between sinian system and qingbaikou system on the geologic and biologic evolution
    新方案中这些地层在我国晚前寒武纪地层柱中的位置,反应出了震旦系与青白口系的地史演化及生物演化间的重要关系。
  • As an optimization algorithm based on the theory of biologic evolution , the most outstanding advantage of evolutionary computation is its strong global optimizing capability comparing with other optimization algorithms
    作为一种基于生物进化原理的优化算法,进化计算与其他优化算法相比,最突出的优点表现在其强大的全局寻优能力上。
  • Genetic algorithm is a highly collateral , random , self - adaptive , general and globe search algorithm , which simulates biologic evolution process . in this paper , genetic algorithm is applied to optimizing the model optimum in what is evaluated by projection pursuit algorithm
    采用遗传算法对于投影寻踪方法在评价过程中涉及到的模型优化问题进行优化,遗传算法是模拟生物“优胜劣汰”进化过程而形成的一种高度并行、随机和自适应的通用性全局搜索算法,能够处理非线性较强的优化问题。
  • The dissertation explains the ideas and characters of generalized genetic algorithm . the evolution method that the directional evolution is combined with the directional transfer of local optimal status to reach the global optimization rapidly is explicated from three aspects : syllogism , mathematic deduction and biologic evolution
    文中详细介绍了广义遗传算法的思想和特点,阐明了广义遗传算法采用定向演化和局部最优状态定向转移相结合从而快速达到全局最优的寻优模式,从演绎逻辑、数学推理和生物进化三个方面证明了算法的合理性。
  • From this sense , the author uses the method which combine the qualitative analysis an the quantitative analysis , and apply the game theory , information economics , new institutional economics , modern property rights economics to make an inner analysis and research on the knowledge management and its mechanism . firstly , through exploring and the micro - mechanism of the enterprise ' s knowledge activity , the paper uses a quantitative analogue of biologic evolution to demonstrate the necessary of knowledge management in knowledge economy . secondly , the paper uses the modern property rights economics , game theory , information theory to analysis the mechanism of knowledge innovation and knowledge share in quantitatively , indust the mechanism of property rights into knowledge management . at last , the paper apply fuzzy bp neural network method to the evaluation mechanism of the knowledge management , and then suggest a new approach to quantitatively analysis the knowledge management effects in an < wp = 8 > enterprise
    笔者从这个意义出发,采用定性分析和定量分析相结合的方法,在努力对博弈论和信息经济学、新制度经济学、现代产权经济学等现代经济学理论的充分了解和掌握的基础上,运用这些理论和方法对知识管理及其机制进行深入的分析和研究。首先,本文通过对企业知识活动的微观机理的分析研究,并用一个拟生物进化的量化模型论证了知识经济时代提出知识管理的必要性和必然性;接着,运用现代产权经济学、博弈论和信息经济学对知识创新机制和知识共享机制进行定性分析和定量分析;最后,本文把模糊数学中的bp神经网络理论应用于知识管理的评价机制,提供了一条对企业知识管理效果进行定量分析有效的新途径。
用"biologic evolution"造句  

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