optimized systems design 中文意思是什麼
optimized systems design
解釋
系統設計最優化-
It is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems
在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢，但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重，並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重，而且降低了估算誤差，具有及時應用最新數據學習的能力.此外，該方法易於在直升機設計系統中得到應用 -
Natural characteristic analysis not only verifies whether the natural frequencies and mode shapes of the antenna are reasonable or not, but also is the base of the structural response analysis, fatigue resistivity computing and the other dynamics problems. the structure design of antenna is a complicated systems engineering, which is generally limited to multiple objects that influence each other, so we need to keep the balance among those objects by decision - making technology of multiple objects to ensure every target optimized
固有特性的分析不僅能檢驗天線結構的固有頻率和振型是否合理，而且也是結構響應分析、動強度計算等其他動力學問題研究的基礎；天線的結構設計是一個復雜的系統工程，它通常受到多個目標的限制，而各目標往往是相互影響的，甚至是相互矛盾的，因此需要藉助多目標決策技術，平衡各目標，以保證空間天線最優的滿足各項設計指標。 -
An optimized design in production assembly systems
生產裝配系統優化設計 -
Application of ant colony algorithm on optimized design for drainage systems
蟻群演算法在雨水管道系統優化設計中的新嘗試 -
Ant colony algorithm is introduced and studied on its application on optimized design for drainage systems
摘要引入一種新的優化設計方法蟻群演算法，並探討將該法應用於雨水管道系統的優化設計。 -
Abstract : it is very important to estimate the basic parameters in helicopter preliminary design. neural network ( nn ) has the advantages in estimating accuracy and generalization over traditional methods. however, there are some difficulties in using nn, e. g., how to select a proper network structure and the number of hidden layers. in this paper, structure and connection weight of a three - layer nn are optimized by genetic algorithm, and the optimized network is applied to helicopter sizing. the proposed method can not only give an optimal nn structure and connection weight, but also reduce the prediction error and has the capability of self - learning when the latest data are available. furthermore, this method can be easily applied to helicopter design systems
文摘:在直升機初步設計階段估算其基本參數是很重要的.神經網路的通用性和精度比傳統的估算方法有更多的優勢，但是在應用神經網路時存在如何選擇合適的網路結構和隱層節點數目等一些困難.應用遺傳演算法優化三層神經網路結構和連接權重，並將優化得到的網路應用於直升機參數選擇中.該方法不但可以給出一個最優的神經網路結構和連接權重，而且降低了估算誤差，具有及時應用最新數據學習的能力.此外，該方法易於在直升機設計系統中得到應用
分享友人