biologic evolution 中文意思是什麼
biologic evolution
解釋
生物進化-
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
新方案中這些地層在我國晚前寒武紀地層柱中的位置，反應出了震旦系與青白口系的地史演化及生物演化間的重要關系。 -
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
文中詳細介紹了廣義遺傳演算法的思想和特點，闡明了廣義遺傳演算法採用定向演化和局部最優狀態定向轉移相結合從而快速達到全局最優的尋優模式，從演繹邏輯、數學推理和生物進化三個方面證明了演算法的合理性。 -
Genetic algorithm ( ga ) simulating biologic evolution mechanism is stochastic - like search method
遺傳演算法是模擬生物進化機制而發展起來的隨機化搜索演算法。 -
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
作為一種基於生物進化原理的優化演算法，進化計算與其他優化演算法相比，最突出的優點表現在其強大的全局尋優能力上。 -
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
採用遺傳演算法對于投影尋蹤方法在評價過程中涉及到的模型優化問題進行優化，遺傳演算法是模擬生物「優勝劣汰」進化過程而形成的一種高度并行、隨機和自適應的通用性全局搜索演算法，能夠處理非線性較強的優化問題。 -
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
筆者從這個意義出發，採用定性分析和定量分析相結合的方法，在努力對博弈論和信息經濟學、新制度經濟學、現代產權經濟學等現代經濟學理論的充分了解和掌握的基礎上，運用這些理論和方法對知識管理及其機制進行深入的分析和研究。首先，本文通過對企業知識活動的微觀機理的分析研究，並用一個擬生物進化的量化模型論證了知識經濟時代提出知識管理的必要性和必然性；接著，運用現代產權經濟學、博弈論和信息經濟學對知識創新機制和知識共享機制進行定性分析和定量分析；最後，本文把模糊數學中的bp神經網路理論應用於知識管理的評價機制，提供了一條對企業知識管理效果進行定量分析有效的新途徑。
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