outcome parameter 中文意思是什麼
outcome parameter
解釋
最後參數-
For obtaining the numeral solutions of round elastic plates in axisymmetrical deformation with varying - thickness in nonlinear deformation in the unsteady electromagnetic field and mechanical field, by establishing the equations of motion, the equations of distortion, the equations of lorentz force, the equations of electronic dynamic mechenical, and adopting iterative method, we gained the nonlinear magneto - elastic calculation method and outcome of current - carrying shell, and gained the influencing degree toward mechanical parameter of varying thickness round ferreous plates in the electromagnetic field and mechanical field
摘要為了獲得內邊界固定的環形導電薄板在均布力與橫向磁場作用下的變形問題的數值解，通過建立運動方程、變形方程、電動力學方程和洛侖茲力方程，運用迭代法得出了載流板殼的非線性磁彈性的計算方法和結果，以及機械場、電磁場對鐵質變厚度圓板各力學參量的影響程度。 -
What ' s important here is not how i would use reverb ( this is a subjective matter and what works for me may not work for you ) but to understand the outcome of adjusting any parameter
應該如何用混響，在這里不是最重要的（這是一個主觀問題，可能適合你，但不適合我） ，但是要了解每一個參數在調整以後結果是什麼。 -
As in a collision involving two vehicles, the outcome depends on several factors : the speed of the colliding objects, their internal structures, and the impact parameter ( which specifies whether the collision is head - on or a sideswipe )
就如兩輛車相撞的情形，結果取決于幾項因素：相撞物體的速率、它們的內部結構，以及撞擊參數（說明其是正面碰撞或擦撞） 。 -
Mathematical model of shaping noncircular gears has been deduced. noncircular gear machining simulation has been realized in condition of variational multi - parameter by programming. feasibility of machining n oncircular gear can be judged through simulation outcome and theory foundation for practical manufacture has been provided
推導了非圓齒輪插齒加工的數學模型，通過編程實現了多參數可變的非圓齒輪加工過程模擬，由模擬結果可直接判斷所設計齒輪的加工性，為實際生產提供了理論依據。 -
The diagnosis program is made in visual c + +. the samples are trained with this network, during which the relationships between the network parameters ( such as rule number, study rate, expert network initial error and gate network error, circulation times and power index ) and learning error were probed into, and the outcome can provide the basis for network parameter selecting
並採用visualc + +編制了系統程序，首先通過分層混合專家網路對故障樣本進行訓練，在訓練中對分層混合專家網路各參數（規則數、學習率、門網路中止誤差、專家網路初試迭代誤差、循環次數、加權指數等）與學習誤差平方和的關系進行了探討，其結果為樣本網路參數的合理選取提供了依據。
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