速度慢的

Institute of Plant Protection, Anhui Academy of Agricultural Science, Hefei 230031, China Abstract: The control effect of propiconazole microcapsule to postharvest anthracnose of apple and their application techniques at 25℃ and 10℃ in storage were studied. The results showed that the difference between the control effect with spraying and soaking were significant, the control effect of fast release for propiconazole microcapsule was better than that of slow release. The control effect of fast release for propiconazole microcapsule was 100% at 25℃ in storage, and was 86.8% 10℃ in storage.

安徽农科院植物保护研究所，合肥 230031 摘要：研究了在25℃和10℃贮藏条件下释放速度分别为快、中、慢的丙环唑微胶囊剂对苹果采后炭疽病的控制效果，结果表明：浸泡处理比喷雾处理的效果要好，释放速度快的比释放速度慢的控制效果要高，在25℃贮藏条件下15d的控制效果为100%，在10℃贮藏条件下控制效果为86.8%。

Besides, as to inpainting problem in wavelet domain, we introduce a new iterative model. In this model low frequency and high frequency will carry on processing separately, enormous speed up the image repair convergence rate, and even if as high as 90% wavelet coefficient have been lost, this model will also be able to have the very good repair effect. In the old model, to compute the curvature we have to transform the coefficients to the pixel domain, and then transform back to the coefficient domain for several times and this method can solve this problem and speed up the iterative convergence.

其次针对小波域中图像修复的问题，本文提出了一种新的小波域图像修复模型，该模型根据小波变换后系数相关性的特点，将低频和高频分别进行处理，极大的加快了图像修复的收敛速度，并且即使丢失高达90%的小波系数，该模型也会有很好的修复效果，有效的解决了传统的TV- Wavelet模型在计算图像的平均曲率WCURV时，需要反复进行小波分解与重构的计算，迭代速度慢的问题。

Compared with traditional DFS algorithm and simulated annealing algorithm, the proposed algorithm possesses better convergency and high convergence rate.

该算法克服了DFS算法收敛性差和模拟退火算法收敛速度慢的缺点。

There exists convergence speed is slow problem in neural networks. In order to solve the problem of convergence speed, Genetic Algorithm is used to optimize BP nerve network.

3由于神经网络存在收敛速度慢的问题，利用遗传算法对神经网络进行优化以解决神经网络收敛速度慢的问题，仿真结果表明了方法的有效性。

However, the classical Schwarz waveform relaxation method has a disadvantage, namely its convergence rate is slow.

但一般的Schwarz波形松弛算法同时也有收敛速度慢的缺点，本文就是通过将传统Schwarz区域分解算法进行改进，以加快它的收敛速度。

The same result can also be achieved when optimizing F8 function (Rastrigin's function). Comparing to EGA, KEGA is easy to realize and the increase of computation load can be neglected, but the performance of KEGA can be improved greatly. 2. To enhance the speed of AIA, two new methods of computing the concentration of antibody were developed. Simulation results for F8 and F15 (needle in haystack: type I) functions show that the two methods can improve the running speed of AIA more than 8. 5 times. 3. As to the drawback in defining antibody concentration, a new definition based on Euclidean distance between two antibodies and fitness is proposed. On this basis, a new AIA was constructed. The convergence performance are more better than that of AIA. 4. Combining king crossover with AAIA and DBAIA, two new AIAs, KAAIA and DKBAIA, were proposed.

仿真实验结果表明KEGA实现简单，与EGA相比，其增加的计算开销可以忽略，但性能改善十分明显； 2、针对基于信息熵的免疫算法运行速度慢的缺点，提出了二种能够加快AIA运行速度的新的抗体浓度计算方法，得到两种新的免疫算法，即加速的人工免疫算法(Accelerated Artificial Immune Algorithm，AAIA)和加速的人工免疫算法-2（Accelerated Artificial Immune Algorithm-2，AAIA-2），对测试函数F15(needle in haystack：type I)、F8函数的仿真研究表明，这两种算法的运行速度都是AIA的8.5倍以上； 3、针对AIA的浓度定义存在的缺陷，提出了一种新的基于抗体间欧氏距离和适应度的新的抗体浓度定义，并依据该定义构造了一种基于欧氏距离的人工免疫算法(Euclidean Distance-based Artificial Immune Algorithm，DBAIA)。

In this paper, the sorting of wear, the mechanics of wear particle formed and the characteristics of wear particles are introduced, and morphology characteristics parameter of wear particle are determined, which is particle brim digital feature. Based on image characters, after pre-process, section and extracting of contour parameter of wear particle using image process technique, four shape character parameters are extracted by fourier series expansion. After analyzing fundamental principle and shortcomings of neural network, current BP algorithm is improved in output optimization, network linearization implication optimization and adding momentum, and then astringe speed of BP algorithm.

本文介绍了磨损的分类以及磨粒的生成机理、磨粒的形态特征，应用摩擦学系统分析的观点，确定磨粒边缘数字特征为磨粒的识别特征参数；根据磨粒图像的特征，利用计算机图像处理技术对磨粒图像进行预处理、分割、轮廓参数的提取，采用傅立叶级数展开式提取磨粒四个形状特征参数：圆形度、散射度、凹度、细长度；针对 BP(Back-Propagation)神经网络收敛速度慢的特点，对现行的 BP 算法进行改进，并通过实验验证改进后的网络收敛速度快；研究设计了磨粒图像采集系统；利用 BP 算法建立磨损磨粒自动识别算法模型 AWPRM(Auto Wear Particle Recognition Model)。

Aiming at the slow convergent rate of standard Q-learning, multi-step on-policy SARSA reinforcement algorithm is adopted. This algorithm has some characters of faster convergent rate, smooth running track and safer training process than standard Q-learning.

针对标准Q-学习收敛速度较慢的缺点，采用多步在策略SARSA强化学习算法，该算法克服了Q-学习收敛速度慢的缺点，运行轨迹平滑，训练过程相对比较安全。

Moreover, it's only the Top Sales who are capable of depleting inventories.

速度快的人赚钱，速度慢的人卖库存，而且，还要是Top Sales才能把库存卖出去。

The shortages of typical BP algorithm are that its convergence speed is slow and it possibly mires to local minimum. To solve the former shortage, BP algorithm was modified from several aspects, such as adjusting learning rate adaptively, adding momentum factor, preprocessing training data and modifying network structure, etc.. For the latter shortage, factor γ was introduced to avoid most of local minimum and accelerate the convergence speed.

为解决现有BP算法收敛速度慢的问题，对BP算法进行了改进，采用了动态改变步长、加入动量因子、对训练样本进行预处理以及调整网络结构等措施；针对经典BP算法可能收敛到局部极小点的问题，加入γ因子，可以避免大部分的局部极小值，从而使网络的收敛速度加快。

Breath, muscle contraction of the buttocks; arch body, as far as possible to hold his head, right leg straight towards the ceiling (peg-leg knee in order to avoid muscle tension).

呼气，收缩臀部肌肉；拱起身体，尽量抬起头来，右腿伸直朝向天花板（膝微屈，以避免肌肉紧张）。

The cost of moving grain food products was unchanged from May, but year over year are up 8%.

粮食产品的运输费用与5月份相比没有变化，但却比去年同期高8％。