stochastic neural network 中文意思是什麼

stochastic neural network 解釋
隨機神經網路
  • stochastic : adj. 1. 機會的;有可能性的;隨便的。2. 【數學】隨機的。
  • neural : adj. 【解剖學】神經(系統)的;神經中樞的;【解剖學】背的,背側的。adv. -ly
  • network : n. 1. 網眼織物。2. (鐵路、河道等的)網狀系統,網狀組織,廣播網,電視網,廣播[電視]聯播公司。3. 【無線電】網路,電路。4. 【計算機】電腦網路,網。
  1. After analyzing the character of risk, i introduce data mining method into risk management, to solve the contradiction between great capacity of data and lack of information, the methods include mathematics statistics and artificial neural network ( ann ). then, i study on the methods of risk management in risk identification, risk evaluation and risk disposal, what is advanced, fault tree analysis method based on fuzzy probability, stochastic simulation method and the topsis method based on interval number all consider the characteristic of risk. finally, i discussed the application of information system ( mis ) in project risk management, and developed a risk management information system

    論文在深入分析了風險特徵之後,將數據挖掘技術引入風險管理,用以解決海量數據與貧乏信息之間的矛盾,所採用的技術有數理統計和人工神經網路( ann )兩種方法;接著,論文對風險識別、風險評價、風險處理中的風險管理方法進行了研究,所提出的基於模糊概率的故障樹技術、隨機模擬技術和基於區間數的topsis方法都體現了風險管理的特點;最後,論文對信息系統( mis )在工程項目風險管理中的應用進行了探討,開發出一個風險管理信息系統。
  2. Data mining ( dm ) aims at drawing implied and useful information / knowledge from massive incomplete, noisy, blurry, and stochastic real data ; while neural network is a frequently used tool for dm

    數據挖掘就是從大量不完全的、有噪聲的、模糊的、隨機的實際數據中發現隱含的、事先未知的潛在有用的並且最終可理解的信息和知識的過程。
  3. A registration algorithm for sensor alignment based on stochastic fuzzy neural network ( snff ) is presented

    提出了基於隨機神經網路的傳感器配準方法。
  4. Three types of artificial neural networks, namely radial basis function network, feedforward network, stochastic network, and their application in the analysis of electromagnetic stop band structure in coplanar waveguide have been discussed

    本文研究了以下三種人工神經網路:徑向基函數網路、前向網路、隨機網路,並用於分析共面波導中的電磁阻帶結構。
  5. With application to civil engineering, this thesis advises a new method for determining the training error of a neural network by taking into account the stochastic characteristic of the training samples

    結合土木工程應用,考慮訓練樣本的隨機特性,本文提出了一個新的選取訓練誤差初始值的方法。
  6. The traffic model and a suit of differential equations presenting the status of the system are given first, from which an objective function is derived, and then the transmission is optimally controlled by the neural network which is characterized by nonlinear map and the particle swarm optimization algorithm which is characterized by stochastic optimization, namely the neural network is employed to generate variable rate of token generation, and the particle swarm optimization algorithm with inertia weight is employed to optimally train neural network in the form of finding a sub - optimal resolution in acceptable computation time

    本文給出了傳輸控制的系統模型及其系統各狀態的差分方程表示,由此推導出了系統的代價函數。然後利用神經網路的非線性映射的功能和基於概率尋優的粒子群優化演算法對系統進行優化控制,利用神經網路控制令牌桶的可變令牌產生速率,利用帶慣性權重的粒子群優化演算法對神經網路的權值進行優化訓練,使其在可以接受的時間內達到次優解。
  7. Digital simulation in analysis of stochastic structures : an artificial neural network approach

    隨機結構數值模擬分析的神經網路法
  8. In stochastic fuzzy neural network based registration system, the network can be taught to correct the measurement so as to trace the measurement coming from another sensor ( reference sensor )

    在隨機模糊神經網路配準系統中網路被教會修正從一個傳感器來的量測,以便可以跟蹤從另一個傳感器(參考傳感器)來的量測。
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