Utilizing the theory of the Drazin inverse, we studied the expression of the general state solution of Multi-layer Cellular Neural Networks.
针对多层细胞神经网络模型,分析了其一般状态解并对其动力值域作了估计。
Because of complexity of geometric shape and loading state for general component, it is difficult to gain theoretical solution to the state of stress-strain for cracking tip.
由于一般构件的几何形状和荷载状态复杂,难于对裂纹尖端的应力应变状态得到理论解。
For the controllability of constant non linear system by using the progression method, the general progression solution of state equation is obtained.
针对定常解析非线性系统进行能控性分析,采用微分方程级数解法得到状态方程的一般级数解,用作能控性分析的基本依据。
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