| 1. | A stationary point which is neither a local maximum nor a local minimum point is called a saddle point .
一个既不是局部极大点又不是局部极小点的平稳点称为一个鞍点。 |
| 2. | A note on the concept of vague sets
关于局部极小值点为整体极小值点的函数的一点注记 |
| 3. | This method can approach local extreme value available , but it is not the optimal solution or optimal resolution
用这种方法可以有效逼近解的局部极小点，但不一定能得到最佳解或最佳的分辨率。 |
| 4. | The learning process of rbf network is much faster and easier than that of bp network , and not existing local minimum areas
径向基函数神经网络的训练时间远小于反向传播神经网络，且不存在局部极小问题。 |
| 5. | This combined method can not only prevent form falling into the trap of local minimum but also prompt the process of chaotic optimization
这种相结合的办法减小了己有算法陷入局部极小的可能性，又加速了混饨优化的速度。 |
| 6. | And we put forward a new algorithm that can solve the drawback of back propagation that easily converge to a local minimum point of the error function
而后针对bp算法易陷入局部极小的缺陷，提出了一种新的算法ambp算法。 |
| 7. | The problem that bp algorithm easily gets into local minimum was solved by using least square method for the training of fuzzy neural networks
其中，模糊神经网络的训练采用最小二乘法，解决了常规的bp算法容易陷入局部极小的间题。 |
| 8. | Since it adopt the steepest descent method in nonlinear programming , it has the drawback that easy converge to a local minimum point of the error function
由于它采用非线性规划中的最速下降法，因而存在极易陷入局部极小的缺陷。 |
| 9. | To improve the velocity of neural network and avoid the minimal value , genetic algorithms as the training algorithm of neural network is adopted
为了提高网络的收敛速度和避免网络陷入局部极小值，采用遗传算法作为该神经网络模型系统的训练算法。 |
| 10. | People put forward radial basis function networks considering the conventional bp algorithm problems of slow convergence speed and easily getting into local dinky value
对于传统bp算法存在的收敛速度慢和易陷入局部极小值问题，人们提出了径向基函数网络。 |
