training network group 中文意思是什麼
training network group
解釋
寧網路教育集團-
It solves these problems by using neural network based on fuzzy decison and neural network group. compared with traditional network, neural network based on fuzzy decison has simple structure, clear logic layer and short training time, while for network group, it is more intelligence and fuses uncertain information better without longer training time
就此本文提出了基於模糊決策的神經網路和帶有加權融合的神經網路組兩種目標識別方法，與傳統的神經網路相比，基於模糊決策的神經網路結構簡單，邏輯層次分明，學習訓練演算法簡潔，而神經網路組在不增加訓練時間的基礎上，提高了網路的智能特性，能夠更加合理地對不確定性信息進行融合。 -
The main factors of probabilistic neural network including the hidden neuron size, hidden central vector and the smoothing parameter, to influence the pnn classification, are analyzed ; the xor problem is implemented by using pnn. a new supervised learning algorithm for the pnn is developed : the learning vector quantization is employed to group training samples and the genetic algorithms ( ga ’ s ) is used for training the network ’ s smoothing parameters and hidden central vector for determining hidden neurons. simulations results show that, the advantage of our method in the classification accuracy is over other unsupervised learning algorithms for pnn
本文主要分析了pnn隱層神經元個數，隱中心矢量，平滑參數等要素對網路分類效果的影響，並用pnn實現了異或邏輯問題;提出了一種新的pnn有監督學習演算法:用學習矢量量化對各類訓練樣本進行聚類，對平滑參數和距離各類模式中心最近的聚類點構造區域，並採用遺傳演算法在構造的區域內訓練網路，實驗表明:該演算法在分類效果上優于其它pnn學習演算法 -
Neural network ' s training and damage detection influenced by input vectors which include the group of the first three frequencies or the group of the first three frequencies as well as the first modal shape, are studied
比較了僅以三階頻率作為神經網路輸入向量和三階頻率及一階振型組合作為網路輸入向量對網路訓練和損傷檢測結果的影響。 -
The economy of network expanding of 1000m network, high performance of information flux, security of information transmission is thinked about in the designing. standard of fast ethernet network technology is selected, standard of configuration laying line is used, vpn technology is adopt to realize security of network, it satisfy the need of present and future. designing a manage system information of some group of dalian air force missile, which can manage people, file and training in the real time and dynamic, realize management of science, veracity and speedy
在設計中考慮了網路經濟性、平滑過度到千兆以太網的擴展性、減少了信息的流量高性能性，信息傳輸的可靠安全性，採用了快速以太網技術作為網路建設標準，採用結構化布線技術進行設備和信息點規劃，利用vpn技術進行安全保護，滿足了部隊現有的需要和擴展的要求初步設計了大連空軍導彈某團訓練信息管理系統，對部隊中的人員、文件及訓練情況進行實時、動態管理，達到了管理的科學性、準確性、迅速性，使軍隊管理成為一個有序的實體。 -
During the experiment, the author implement the cps training based on the network on the treatment group, by referring to the existed brainscdorming and cps research, and combining with the modern teaching theory, the author opened up the web - based cps platform, and have be validated. in the experiment, we had all the participants in the controlled group and the experimented one tested three kinds of tests, they are : the creative thinking test, the creative problem solving test and student ' s creative behavior character test. and the results showed that : the web - based cps traning are useful to the development of students " scattered thinking skill
著者在參考借鑒已有大腦風暴及cps研究的基礎上，結合現代教學理論的思想，開發了基於網路的cps訓練環境（平臺） ，並通過實驗研究的方式驗證其有效性。實驗中對參加該訓練的實驗組和未參加訓練的控制組學生進行了創造性思維測驗、創造性問題解決測驗以及學生創造性行為特徵量表的測量，數據結果表明：基於網路的cps訓練對學生一般課題發散性思維技能具有促進效果，且該訓練有助於發展學生積極的創造態度。 -
To make up the shortages in practice of that network, the thesis synthetically exerts the principal components analysis clustering analysis and fuzzy c - means to offer the initial training samples for the network, then makes use of the genetic algorithm to find the best parameters group, in the end of this thesis, as an example, evaluates the credit grades of the 57 pieces of customers of a domes tic pharmaceutical group, giving out each customer ' s credit grade and the degree belonging to that grade as basis for the enterprises to investigate the credit status and determinate the quota
為克服該網路實用中的不足，綜合運用主成份分析（ pca ） 、聚類分析和模糊c -均值（ fcm ）等方法，為該網路提供初始訓練樣本，並採用遺傳演算法對該網路關鍵參數組合進行尋優。最後以國內某制藥集團57份客戶信用評分結果為例，進行應用分析，給出每個客戶的信用等級和對該等級的隸屬度，作為企業審查客戶信用水平、確定信用限額的依據。 -
Based on the summary of previous evaluation methods, this paper points out the shortcomings of them, then draw the theory of artificial neural network into risk evaluation, through an example of some kind of investment project and the training and examination of a group investigation sample, it sets up the artificial neural network model. at last, this model is applied to the real case of an engineering project to evaluate its risk level and satisfactory result is made ; in the fifth chapter of this paper, the main risk factors that affect the economic appraisal of the engineering investment project are described through the form of relationship chart. then it is proved by way of deduction of formula that the risky influence that is brought by inflation must be considered in the engineering investment project
本文在對以往評價方法進行歸納總結的基礎上，指出其中存在的不足之處，將人工神經網路理論引入到風險評價中，以某一類投資項目為例，通過對一組調查樣本的訓練和檢測，建立了工程投資項目風險評價的人工神經網路模型，並通過實例對模型進行了驗證，取得了滿意結果；在本文第五部分，對影響工程投資項目經濟評價的主要風險因素以關系圖的形式進行了描述，然後通過公式推導證明了在工程投資項目中應該考慮通貨膨脹帶來的風險影響，接著在分析以往建立的經濟評價凈現金流量表達式存在不足的基礎上提出了另外一種方式的表達式，即凈現值解析模型，對該模型的求解進行了詳細的說明，並分析了如何恰當的選擇各風險變量的概率分佈，最後在考慮投資者風險偏好的前提下，提出了工程投資項目新的風險度量模型。
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