| 1. | Study on global exponential stability of neural networks and its convergence estimate
神经网络指数稳定性分析及收敛率估计 |
| 2. | Conrergence rate estimate of ishikawa iteration mathod with errors for equations involving accrative operators
迭代序列的收敛率估计 |
| 3. | Convergence rates of regularized solutions of nonlinear operator equation of the first kind involving monotone operators
非线性第一类单调算子方程正则解的收敛率讨论 |
| 4. | In addition , when a certain error bound holds locally , the author analyzes the convergence rate of the iteration sequence
如果某种误差届成立，算法的收敛率也被分析。 |
| 5. | Control of continuous affine nonlinear systems with prescribed exponentially convergent rate and performance by using set - valued analysis method . the concept of controlled
用集值分析方法研究了仿射非线性连续时间系统具-指数收敛率和-性能的 |
| 6. | Finally , bp neural network is improved for face recognition , the problem on choice of parameters is discussed , the sigmoid function and weight adjustment are improved for higher convergence speed
讨论了传统bp神经网络的参数选取问题,对sigmoid函数和网络学习速率进行了改进,以提高系统的收敛速度和收敛率。 |
| 7. | Two sufficient conditions for the systems are concluded from the research . all the researches are on the base of prior reference and the results of this paper is quite different and superior to the results of correlated reference
第三节，研究的对象为一般的时滞神经网络，利用dini导数、积分不等式等工具,研究了神经网络的指数渐近稳定性与指数收敛率 |
| 8. | Through studying the simulation results and compared with the other algorithms , the big mutation hybrid algorithm improves convergence accuracy and convergence probability and reduce convergence generation , therefore it is worth further researching
通过仿真研究和与其他方法的比较，该大变异单纯形混合遗传算法在收敛精度、收敛代数、收敛率方面都有所提高，具有一定的研究价值。 |
| 9. | We will again obtain the local existence of the classical solution of the above problems in this part by using viscous approximations . then we will discuss the decay rates of the viscous approximations when the viscous term tends to zero
( 3 )粘性消失本部分首先利用粘性消失的方法得到如上方程组古典解的局部存在性，然后讨论了当粘性消失时，粘性方程的解趋于如上方程组解的收敛率问题。 |
| 10. | In this thesis we mainly study degenerate - times integrated operater families and its applications to abstract cauchy problems , and we study the mean ergodicty theorems and the convergence rates of ergodic limits and approximation for k - regularized resolvent families
本文我们主要研究退化( r ) -次积分预解算子族及它对抽象cauchy问题的应用，并且研究k -正则预解算子族的平均遍历定理和遍历极限的收敛率。 |
