| 1. | The nns - imc is a type of nonlinear adaptive control
神经网络内模控制是一种自适应的非线性控制。 |
| 2. | Nns electives to be offered are confirmed after consulting all teaching staff . 2
经多次谘询全体教师，确立新高中开科。 |
| 3. | Due to the enhancement of the information processing abilities of single neuron , the nns can realize the multi - valued logic ( mvl )
在对数字逻辑的多阈值神经元实现理论研究的基础上，探讨多阈值神经元电路设计及实现的方案。 |
| 4. | The development of the nns - imc and the system of level control were overviewed . 2 . the characteristic of the nns - imc was discussed in detail
系统介绍神经网络内模控制的背景和研究发展状况，阐述了本文研制的液位控制系统的背景与用途。 |
| 5. | Because this control strategy absorbs both imc " and nns adaptive control " merits , there has been considerable interest in exploring its applications in the control community
这种控制策略融合了内模控制和神经网络自适应控制的优点，所以受到控制界的普遍关注。 |
| 6. | Secondly , for two classes of unknown nonlinear time - delay systems , two robust memoryless adaptive nn control design approach are proposed . unknown time - delay functions are approximated by nns
第二，针对两类未知非线性时滞系统，提出了两种鲁棒无记忆自适应神经网络跟踪控制方案。 |
| 7. | Not only that but this process can continue retraining the selected nns until some final parameter is reached ( i . e . a low rmse value ) like a distillation process
以不同的权值.参数.或者不同的结构体系，这样一来用户就可以在训练过程结束以后简单的通过选择最合适的神经网络来得到最佳的。 |
| 8. | To expose the statistical properties of the degenerated spectrum , with the aid of the random matrix theory , a possible form of the nns distribution function of the degenerate spectrum was proposed by providing a solution in terms of the same - degeneracy case
利用随机矩阵理论，通过对一特殊情形的简并谱展开研究，得到了简并谱一种可能的最小相邻间距nns分布函数。 |
| 9. | To expose the statistical properties of the degenerated spectrum , with the aid of the random matrix theory , a possible form of the nns distribution function of the degenerate spectrum was proposed by providing a solution in terms of the same - degeneracy case
摘要利用随机矩阵理论，通过对一特殊情形的简并谱展开研究，得到了简并谱一种可能的最小相邻间距nns分布函数。 |
| 10. | In research of forest fire auto - recognition , the paper discusses digital image processing with wavelet theory and nn . image de - noise processes in wavelet domain by wavelet transform and automatically segments by otsu method , wsa and kohonen nns
森林火灾图像经小波分解后，在小波域中予以去噪预处理，并借助阈值化图像分割技术、 wsa与kohonen神经元网络自动分割图像。 |
