Simulation results illustrate that LM algorithm speed up learning process and reduce training time greatly. The identification effect is very good.
仿真结果表明LM算法可大大地提高学习速度，缩短训练时间，且辨识效果很好。
The new method for constructing the guide tree and the basic local alignment search tool increase the algorithm speed relative to other multiple alignment algorithms.
引导树构造方法的改进和快速局部比对算法的采用，使得算法运行速度大大高于一般算法。
The formulas of system posture algorithm, Speed Calculation and Position Calculation are studied.
研究了基于四元数法的载体姿态算法和载体的位置、速度算法。
The formulas of system posture algorithm, Speed Calculation and Position Calculation are studied.
研究了基于四元数法的载体姿态算法和载体的位置、速度算法。
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