| 1. | You can specify the exact size of the output sample , and specify a seed for the random number generator
您可以指定输出样本的准确大小，并指定随机数生成器的种子。 |
| 2. | As for small quantity or very intricate parts , we adopt prototype technology and output samples in short time
我们的经营理念是培养并依靠高素质的人才，持续向社会提供世界一流水准的熔模精铸产品。 |
| 3. | The method can overcome the difficulties of obtaining the training input / output samples for neuro - controller in neural networks control
该方法适合多输入多输出结构体系，整个推导过程都是针对此体系进行的。 |
| 4. | 3 . grey prediction is a kind of effective prediction method , which only needs few output sample data ( four data are enough ) for modeling a system
灰色预测是根据被控对象的动态行为和运行趋势进行分析的预测方式。 |
| 5. | Finally , the academic analysis is verified by the result of experimentation of the inverter of wide - frequency output sample . the quality of the waveform is insured as the rms and the frequency are varied widely
最后给出的宽频率输出逆变电源原理样机的实验结果，说明系统具有很宽的电压和频率调节范围，同时保证较好波形的输出。 |
| 6. | The functional descriptions of these error mechanisms which can reveal how errors of various blocks in adc affect the output sample are provided ; analyses show that the first stage of the converter is dominant in a pipeline
首先,通过研究流水线采样保持电路、子adc 、子dac和残差放大级的主要误差机制,用函数表达式将误差等效到采样输出端,量化各部分误差对系统性能的影响。 |
| 7. | Regard it as input items of bp network to eight influence factors of the quality of the finished product of clothing , and the product quality qualification rate as output item , bp network turns this question into a nonlinearity issue of multipacket input and output samples
将影响服装成品质量的八个因素作为bp网络的输入项，而该批产品质量合格率作为输出项，这样bp网络就把该问题转化为一个多组样本输入输出的非线性化问题。 |
| 8. | The construction of input and output sample , designing of classifier and designing of the training network configuration are introduced respectively , some improvement algorithms of bp neural network are discussed . the efficiency of star pattern recognition greatly is improved through ameliorating configuration of network and program method
介绍了识别系统中输入、输出样本的构造，分类器的设计以及训练网络结构的设计，讨论了基于bp神经网络训练的一些改进算法，通过对网络结构与编程方法的改进使星图识别的效率大大提高。 |
| 9. | 2 . on the base of detailedly analysing the fourier neural networks , we find this neural networks have the characteristic which can transform the nonlinear mapping into linear mapping . so , we improve the original learning algorithm based on nonlinear optimization and propose a novel learning algorithm based on linear optimization ( this dissertation adopts the least squares method ) . the novel learning algorithm highly improve convergence speed and avoid local minima problem . because of adopting the least squares method , when the training output samples were affected by white noise , this algorithm have good denoising function
在详细分析已有的傅立叶神经网络的基础上，发现傅立叶神经网络具有将非线性映射转化成线性映射的特点，基于这个特点，对该神经网络原有的基于非线性优化的学习算法进行了改进，提出了基于线性优化方法(本文采用最小二乘法)的学习算法，大大提高了神经网络的收敛速度并避免了局部极小问题；由于采用了最小二乘方法，当用来训练傅立叶神经网络的训练输出样本受白噪声影响时，本学习算法具有良好的降低噪声影响的功能。 |
| 10. | A kind of multilayer forward neural network based on improved genetic algorithm is applied to build the inverse kinematics model of manipulator , aim at the model , each operator and coding plan of the improved algorithm are discussed in detail , because the first joint of the robot is not rotational , for to unify to the fitness function , the relation model between every joint of the robot and corresponding electromotor rotational angle which is regarded as output sample neural network is build
为此，我们提出应用基于改进的遗传算法的神经网络来建立机器人运动学逆问题模型，针对该模型，详细讨论了改进后的遗传算法的各个算子以及编码方案，并针对该机器人第一关节是平动关节，建立了该机器人各关节与相应驱动电机转角之间的关系模型，将各关节驱动电机的转角做为神经网络训练样本对的输出样本，为统一到适应度函数的公式中做了必要的准备。 |
