自适应控制

It is necessary and signficant to control manufacturing processes more adaptively and effectively for the development of CIMS.

制造过程的自适应有效控制对CIMS的发展具有极其重要的意义。

Through this way,the probabilities of crossover and mutation can be adaptively adjusted during the evolutionary process.

从而自适应地控制算法在进化过程中的交叉概率和变异概率。

This paper proposed an adaptively stochastic algorithm for solving a log-optimal portfolio problem with risk control.

针对有风险控制的log-最优投资组合问题，提出了一个自适应的随机演算法。

The adaptive algorithm is adopted to design the concept mapping of cerebella model articulation controller neural network. The nonlinear quantization CMAC is presented to improve the speed and accuracy of calculation to meet the complex and dynamic demand under the nonlinear and realtime controlling environment.

采用自适应算法对小脑模型神经网络的概念映射进行设计，提出了非线性量化小脑模型神经网络算法，提高小脑模型神经网络的计算速度和精度以满足复杂动态环境下的非线性实时控制的需要。

Based on the characteristics of CMAC neural network and fuzzy control,the novel controller of fuzzy CMAC neural network that reflects the fuzziness and continuity of human cerebella is discussed.

针对 CMAC神经网络和模糊控制的特性，给出了一种能反映人脑认知的模糊性和连续性的模糊 CMAC神经网络控制器，该控制器采用高斯函数作为模糊隶属函数，利用神经网络实现模糊推理并可对隶属函数进行实时调整，从而使其具有学习和自适应能力。

The invention discloses a method for adaptively controlling the capacity of a thread pool and a method for concurring and controlling an application server, and belongs to the software technical field.

本发明公开了一种线程池容量自适应调节方法，以及一种应用服务器并发控制方法，属于软件技术领域。

So, the study in this dissertation focuses on some key points in theuncertainty treatment of mobile robot localization as follows: Combined with the multiple proprioceptive and exteroceptive sensors ofmobile robot MORCS-1, aimed at the drift error of fiber optic gyro as theproprioceptive sensor, the neural network using genetic algorithm as optimaltool is proposed to accomplish the modeling and calibration for temperaturedrift of fiber optic gyro, which can reduce the drift error to the standard outputat constant temperature; and aimed at the noisy disturbance of ranging datafrom the exteroceptive sensor laser scanner, a dynamic adaptive filter isintroduced through the analysis of neighboring ranging data in time and spatialcorrelation to realize the real-time and dynamic filter, which can validly filter the noisy disturbance to meet the requirement of the accurately real-timeobstacle detection in mobile robot navigation.

总结全文，在移动机器人定位的不确定性处理研究中，提出了一些具有一定创新性的方法：结合自行研制的移动机器人MORCS-1系统的多种内外部定位传感器，针对内部本体感受传感器光纤陀螺仪的漂移误差，提出采用基于遗传算法优化的神经网络来对光纤陀螺仪的温漂建模及校准，能够将其温漂变化控制在恒温条件下标准测试输出附近；针对外部环境感知传感器激光雷达测距数据中包含的噪声干扰，考虑移动机器人导航中激光雷达测距数据的时空关联性，提出采用动态自适应滤波技术进行预处理，从而可以有效滤除噪声干扰满足导航中障碍实时精确检测的要求。

Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified PCNN model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. Secondly, PCNN is extended to PCNNs, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. Thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification; Finally, based on the accumulative difference pictures, and the forming and transmission of PCNN wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction.

首先结合PCNN的同步脉冲发放和侧抑制特性，提出了基于改进型PCNN的图像凹点检测算法，该算法是一种自适应而有效的图像凹点检测方法，并且较好地仿真了人类视觉系统；然后，结合信息传递和信息耦合特性，将PCNN扩展成PCNNs，提出了一种基于PCNNs的图像融合算法，能够将多个传感器获取的同一目标的图像信息融合到一幅图像中，有效模拟了人类视觉系统；另外，结合PCNN的同步脉冲发放特性、捕获特性和波的传播竞争特性，开拓地将PCNN用于模式分类中，提出了基于耦合神经元点火捕获／抑制特性的分类方法和改进的约束距离下的PCNN分类方法，前者可实现对样本空间中任意复杂分布训练样本的稳健非线性分类，而后者能够消除训练样本中刺点对分类的影响；最后，结合累积差分图像思想、PCNN波的形成与传播特性，通过各神经元之间连接取向来选择与控制自动波的流向，将PCNN用于运动视觉分析中的运动轨迹模拟及运动方向检测。

At the same time,apply akind of trail controller using self-adapted controller to induce the effect arisen by the torque vibration because of load,frication and so on.

同时，应用了一种基于自适应控制器的跟踪控制结构，以解决由于负载、摩擦等因素的变化带来的力矩波动对加工精度的不利影响。

This thesis proposes a lossless digital watermarking algorithm based on Harr wavelet transform, which can recover the original image without any distortion from the marked image after the watermark has been extracted.

提出了基于Harr小波的彩色图像可逆水印算法，采取闭环控制自适应地修改其高频子带系数以嵌入水印。

On the other hand, the more important thing is because the urban housing is a kind of heterogeneity products.

另一方面，更重要的是由于城市住房是一种异质性产品。

Climate histogram is the fall that collects place measure calm value, cent serves as cross axle for a few equal interval, the area that the frequency that the value appears according to place is accumulated and becomes will be determined inside each interval, discharge the graph that rise with post, also be called histogram.

气候直方图是将所收集的降水量测定值，分为几个相等的区间作为横轴，并将各区间内所测定值依所出现的次数累积而成的面积，用柱子排起来的图形，也叫做柱状图。