radial network 中文意思是什麼
radial network
解釋
放射狀網路-
Flood level forecast model for tidal channel based on the radial basis function - artificial neural network
用徑向基函數神經網路模型預報感潮河段洪水位 -
Third, based on the non - linearity feature of the system, the lmf algorithm is given by using the non - linearity least square optimal method. the simulating results show that the accuracy of the algorithm approaches the cramer - rao - bound. finally, the radial based function network localization algorithm is present for bistatic sonar
為了克服lmf演算法在進行迭代時依賴于初始值的缺點，根據人工神經網路在求解非線性問題方面的特點，提出了用徑向基函數網路方法來進行雙基地聲吶定位的優化演算法。 -
In this paper, the rotating machinery at high speed is studied. there are discussed about numerical calculating methods for non - linear dynamical system, the rotor system radial impact and rubbing dynamics behavior analysis having the nonlinear rigidity on the unsteady and non - linear oil film, the rotor system dynamics behavior analysis with bending - torsional - pendular coupling vibrations, application of wavelet, fractal and network in fault diagnosis. the main works in this paper are as follows : ( 1 )
本文以高速旋轉機械為主要研究對象，系統、深入地研究了非線性動力學系統的數值計算方法、具有非線性剛度的轉子系統在非穩態非線性油膜力作用下的徑向碰摩動力學行為、轉子彎扭擺耦合振動的動力學分析、小波和分形理論及人工神經網路在故障診斷中的應用問題。 -
The model of tribology based on radial basis function artificial neural network
徑向基神經網路的摩擦學模型 -
This article describes the development process of surrogate models and introduces some experiment design methods and approximation approaches that can be used for a mdo surrogate model, they are full factorial experiment design, orthogonal experiment design, uniform experiment design, central - composite experiment design, and polynomial response surface method, kriging method, radial basis function method and artificial neural network
為此本文中分別介紹了正交試驗，均勻試驗以及中心復合試驗等幾種試驗設計方法，以及多項式響應面， kriging ，和徑向基函數等幾種數學近似方法。並且通過構造描述機翼展向升力分佈的代理模型，對上述幾種方法作了對比分析。 -
Based on rbf neural network and perceptron neural network, a four - layer feed - forward neural network named radial basis perceptron ( rbp ) network is presented
基於rbf網路和感知器（ perceptron ）網路建立一四層前饋神經網路?徑向基感知器（ radialbasisperceptron ， rbp ）網路。 -
Radial basis function network constructs many basis functions, according to the distances between the unknown style and the known styles, to generate the function value of the unknown style
徑向基函數網路利用未知樣本與已知樣本間的距離構建多個基函數得出未知樣本處的函數值。 -
Icbp is a generalization to circular back - propagation ( cbp ) network. cbp possesses good generalization ability and adaptability compared with the counterpart bp. and in its frame we can construct vector quantification ( vq ) and radial basis function ( rbf ) networks, showing great flexibility
Icbp是我們對圓形反向傳播網路（ circularbackpropagation ? cbp ）的推廣， cbp不僅具有良好的推廣和自適應能力，而且在其框架下分別構建出矢量量化（ vq ）和rbf網路，展示出了極大的靈活性。 -
In this thesis, load flow algorithm for radial distribution networks is also discussed. a new alternate iterating algorithm is adopted which shows its efficiency in distribution reliability evaluation. a new algorithm of double - - layer tree structure to simplify the complex distribution network is proposed, which is used in fmea to improve the efficiency of distribution reliability evaluation
根據實際配電網的運行情況，建立了分析其可靠性的統計和預測指標；討論了適用於配電網可靠性分析的潮流計算方法；提出了雙層樹結構的配電網路簡化方法，並應用於故障模式後果分析法中，提高了應用故障模式後果分析法分析配電網可靠性的效率。 -
Energy consumption prediction model based on radial basis function network
基於徑向基函數網路的能源消費量預測模型 -
Ann methods are feasible for the verification measurements in nuclear safeguards. experimental data sets have been used to study the performance of neural networks involving radial basis function neural network and generalized regression neural network ( grnn ). the optimization of the parameter spreads have been given and the analysis error of grnn no more than 0. 2 %
分析結果表明，使用泛化能力較高的混合訓練集訓練神經網路，網路給出的富集度值與標準樣品的標稱值之間的相對差異小於13 % ；使用泛化能力相對較弱的分組訓練集訓練神經網路，網路給出的分析結果的不確定度小於2 % ；使用分組訓練集和廣義回歸神經網路，網路給出的分析結果的不確定度小於0 -
Application of radial base function artificial neural network in investigation of soil salinization
徑向基人工神經網路法在土壤鹽漬化調查中的應用 -
The advanced evolution algorithm presented in this paper extend the topological function to querying loop network and querying connection line, which make a foundation for data check - up and data correction of radial analysis software
基於本文的改進演算法，在實現網路拓撲分析的基礎上，還將其功能擴展，進一步實現了環網查尋功能、聯絡線查詢功能，為配網分析軟體的數據檢查和修改打下了很好的基礎。 -
( 3 ) reactive power optimal of radial network is a very complex nonlinear discrete optimal problem. to ensure the speediness, feasibility and optimality, evolution algorithm is improved by combination with interior point sequence linear optimal algorithm and principle of var balance. the improved algorithm is applied to the reactive power optimization and achieves distinct effect
（ 3 ）配網網路無功優化是一個非常復雜的非線性離散優化問題，為了保證計算結果的快速性、可行性和最優性，本文結合內點法的逐次線性優化方法，以及配網電壓調節的特點，對模擬進化優化方法進行了改進，並將該演算法應用於配網無功優化問題的求解，取得了顯著的效果。 -
The three - dimensional flow - resistor network for radial and tangential gas permeability of softwoods
針葉樹材徑向和弦向氣體滲透的三維流阻網路 -
The attenuation indexes of vertical direction components and level radial components of blast earthquake wave in the condition of far range are all larger than the one in the condition of close range. based on upwards analysises, relevant control ways and safety defending technology of blast vibration are given from the aspects of blast equipments, blast parameters, landform physiognomy, blast methods. and taking the practical data from blast scene as the sample, the blast shockproofness are forecasted by the feedforward nerve network model based on the prior knowledge of blast shockproofness, the regress analysis method and experience formula method, which supply the technology gist for
並且，以爆破現場的實測數據為樣本，採用基於爆破震動強度先驗知識的前饋網路神經模型、回歸分析法及經驗公式法分別對爆破震動強度進行了預測研究，為爆破施工參數的確定提供了技術依據，確保整個爆破工程順利安全進行，並對這三種方法的預測結果進行了對比分析;對比分析表明，三種預測方法計算出來的結果精度相差甚大，從檢驗樣本值與預測結果值之間的相對誤差可以看出，人工神經網路法預測的結果較其他方法更接近於實際值，回歸分析預測法的精度又要高於經驗公式預測法。 -
The flood and drought in both first stage and second stage of rainy season in fujian province were forecasted by the ways of line regression prediction equation and three kinds of artificial neural network models, the results show : the backpropagation ( bp ), radial basis function ( rbf ) and elman neural network models are much better than line regression prediction equation in historical sample fittings, independent sample test, actual prediction ability
（ 3 ）運用線性回歸預報方程和三種人工神經網路模型對福建汛期旱澇進行預測的實驗表明： bp 、徑向基（ rbf ）和elman這三種人工神經網路模型在歷史樣本擬合精度上、獨立樣本檢驗結果和網路模型的實際預測能力上都明顯優于傳統的線性回歸方法。 -
Through study of correlative contents of advanced computer cybernetics, artificial intelligence, the domain knowledge and special crop growth mechanism in greenhouse, we present the system of multi - sensor data fusion ( msdf ) based on radial basis function network ( rbf ) to implement on line detection for nutrient - liquid, which may realize multiple components detection on - line, for example no3 -, cl -, ca2 +, ph, ec, nh4 +, k + and so on. the soft sensor ' s mechanism is introduced to overcome the limitations of sensor ' s manufacturing process. to improve the believe - degree of soft sensor ' s result, we analyze soft sensor ' s result by uncertain inferential capacity and combination rule of evidential theory
本論文通過對計算機技術、控制理論、人工智慧技術和設施農業領域知識等相關理論的研究，結合對特定溫室蔬菜生長的研究與機理分析，提出了一種基於rbf神經網路的營養液多傳感器數據融合（ msdf ）系統，實現對營養液組分： no _ 3 ~ - 、 cl ~ - 、 ca ~ （ 2 + ） 、 ph 、 ec 、 nh _ 4 ~ +和k ~ +的在線檢測；對于由於目前傳感器製造工藝的限制而不能在線檢測的離子成分如磷酸根和硫酸根，提出了一種基於徑向基函數網路的軟測量機制，可以有效地實現對營養液中磷酸根和硫酸根成分的實時檢測；為了提高軟測量結果的可信度，利用d - s證據理論的不確定推理能力和合成公式，結合領域知識對軟測量結果進行可信度分析。 -
Design a multivariable adaptive fuzzy controller by fuzzied radial basis function network simplified model
基於模糊組合變量的自適應加權控制 -
We also research the power flow calculation and reliability analysis of urban radial network, and a forward - backward sweeping method of power flow solution and a kind of reliability evaluation based on the minimal path method, are presented in this thesis
在前人研究成果的基礎上，提出了採用前推回推法計算配電網路潮流以及基於最小路的實用快速可靠性評估演算法.其中對于潮流計算，本文用c語言編制了相應的計算程序。
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