implicit decision 中文意思是什麼
implicit decision
解釋
隱判定-
Edm has some remarkable advantages over traditional models, includes using implicit causal models, self - learning capacity, weak dependence on domain knowledge, wide applicability, robustness, self - adaptability, and population - based searching, etc. tracing back its intrinsical ideas, edm is just making use of the nature ' s decision making strategy, natural selection, to solve the decision making problems faced by human or the intelligent agents
進化決策主要利用了進化演算法與形式化計算模型相結合所具備的自動建模能力，它具有隱式因果模型、自學習、弱知識依賴、應用廣泛、穩健性、自適應和群體搜索等優勢。追根溯源，進化決策的基本思想正是利用大自然的決策機制（自然選擇）來解決客觀世界所提出的決策問題，而自然進化又是已知的能力最強的問題求解范型。 -
Implicit learning of distributed decision group in dynamic system control task
分散式群體在動態系統控制決策中的內隱學習 -
Because these datu are too large and discrete, it is a difficult and complex task to analysis categorize, index and look up them with traditional artificial methods. and it is more difficult to research into the implicit laws which hide in quality control and management. so, to explore the enterprise ' s information resources efficiently is impossible, and the quality of production can not be pledged well, not to mention make decision - making scientifically
眾所周知，在水泥生產製造過程中，會產生大量的質量數據，但由於這些數據類繁、量大且分散，以至傳統的人工處理方式對其進行分析、歸類、檢索和查找成為一項艱巨復雜的工作，更難于揭示歷史數據中所隱含的質量控制和管理規律，從而難以對企業質量信息資源進行充分開發利用，致使企業產品質量難以提高，嚴重地影響質量決策的科學性。 -
Data mining is defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from data or known as knowledge - discovery in databases ( kdd ). to do this, data mining uses computational techniques from statistics, machine learning and pattern recognition such as discriminate analysis, regression method, mathematical programming, decision tree, k - nearest neighbor, artificial neural network etc. although many positive attempts are done, the development and application of personal credit assessment model in chinese bank industry is still in its infancy
數據挖掘是20世紀90年代後期人工智慧和數據庫領域興起的一種數據處理和知識發現（ kdd ）理論，是從大量的、不完全的、有噪聲的、模糊的和隨機的實際應用數據中，提取隱含在其中的信息和知識的過程。對數據進行分類和預測是數據挖掘的主要功能。數據挖掘用於信用評估的優勢主要在於: （ 1 ）能處理和修正實際數據問題，演算法模型具有自檢 -
Based on the exploration of lending pricing behaviors of banks during the historic process of the interest rate system reform, the paper mainly discusses the genesis mechanism of lending price and the interrelated implicit interest rate under the condition of financial regulation, analyses the external and internal factors which influence the lending pricing decision - making process of the microeconomic bodies ( banks and enterprises ). and based on the contrast of the lending pricing modes which are popular at home and abroad now, the paper designs a lending pricing model of compound interest rate, which can be applied to the market - oriented interest rate circumstance
本文將銀行的貸款定價行為置於利率體制變革的歷史進程中加以考察，重點討論了金融管制條件下貸款價格的生成機制及與此相關的隱性利率，分析了影響微觀經濟主體（銀行和企業）貸款定價決策的內外部因素，並在對比國內外當前普遍採用的貸款定價模式的基礎上，設計了適用於利率市場化環境的貸款復利定價模型。 -
Data mining is a collection of engineering methods proposed for solving large practical problems of machine learning, pattern recognition, database technology etc. the purpose of data mining is to discover the implicit knowledge or rule, and to help human expert to make decision. frequent pattern mining ( fpm ) and bayesian network learning ( bnl ) are two useful technologies of data mining
數據挖掘技術是解決機器學習、模式識別、數據庫技術等各種領域中的大型實際應用問題而提出的一些工程性方法的集合，主要是為了從大型數據庫中高效地發現隱含在其中的知識或規律，並為人類專家的決策提供支持。 -
A study of the effect of the implicit performance model on managerial decision
內隱績效模型對管理決策的影響作用研究 -
Implicit social cognition : the background effect of individual social decision
社會性決策的個人背景效應 -
In many router implementations ; however, the criteria upon which you base the routing decision might be far more implicit than a dedicated parameter
在許多路由器的執行過程中，您依據標準給出的發送指令可能沒有比用專門的參數來得明顯。
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