C-C

列句25宫的所有组合。 每行,每列,和对角线 数字和为25。(sentence of 25 out of all the combinations Palace. Each line, each and diagonal figures and 25.)

：针对三容水箱是较为典型的非线性、时延对象，具有很强的代表性这一特点， 通过机理建模方法建立了三容水箱的一般数学模型。分析了线性和非线性阻力板的流量特性， 并通过实验测定了阻力板流量系数。最后给出了三容水箱的线性化模型。由仿真实验可知，非线性模型的阶跃响应和实验测得的响应曲线相吻合，(: For three-tank water tank is a more typical non-linear, time-delay object, has a strong representation of this characteristic, through the mechanism of modeling methods allow the establishment of three general mathematical model of water tanks. Analysis of linear and nonlinear flow resistance characteristics of plate, and through experimental determination of the resistance plate flow coefficient. Finally, the three-linear model of water tanks. By simulation experiments, we can see that the nonlinear model of step response and the experimentally measured response curve coincide)

针对传统的算法如遗传算法、粒子群算法等在TSP问题上求解精确性和求解规模上都还有一定的不足，本文提出了一种基于动态规划思想的粒子群优化算法。该算法用动态规划的方法实现粒子间的信息交互和粒子的进化，并且将粒子群中的粒子按无标度信息指导网络拓扑图的方式进行连接。仿真结果表明该方法能有效地减小误差率，提高解的精确，同时还保持了较低的计算复杂度，具有良好的稳健性。(TSP problem solving for the traditional algorithms such as genetic algorithms, particle swarm optimization accuracy and solving the scale, there is a certain lack of a dynamic programming algorithm-based particle swarm optimization algorithm. The algorithm using dynamic programming method to achieve the evolution of information exchange between the particles and the particles, and particle swarm particle scale-free information guide network topology map to connect. The simulation results show that this method can effectively reduce the error rate and improve the solution precision, while maintaining a low computational complexity, good soundness.)

J2000坐标系与WGS84坐标系之间的转换矩阵计算。(The matrix between J2000 and WGS84 coordinat system)

多目标跟踪的粒子滤波器，车牌识别定位程序的部分功能，最小均方误差等算法的MSE的计算。( Multi-target tracking particle filter, Part of the license plate recognition locator feature, Minimum mean square error MSE calculation algorithm.)

利用遗忘因子递推最小二乘法做的参数估计，介绍还算详尽(Forgetting factor recursive least squares method using the parameter estimates do)

FLUENT中离散相粒子追踪设置及相关计算，设计用户自定义相关内容(Discrete phase particle tracking in FLUENT)

为了提高三级倒立摆系统控制的响应速度和稳定性,在设计Mamdani 型模糊推理规则控制器控制倒立摆系统稳定的基础上, 设计了一种更有效率的基于Sugeno 型模糊推理规则的模糊神经网络控制器。该控制器使用BP 神经网络和最小二乘法的混 合算法进行参数训练,能够准确归纳输入输出量的模糊隶属度函数和模糊逻辑规则。通过与Mamdani 型控制器的仿真对比, 表明该Sugeno 型模糊神经网络控制器对三级倒立摆系统的控制具有良好的稳定性和快速性,以及较高的控制精度。(In order to improve the three-level control of inverted pendulum system response speed and stability, in the design of Mamdani-type fuzzy inference rules of the system controller to control the stability of inverted pendulum on the basis of a more efficient design based on Sugeno-type fuzzy inference rules of fuzzy neural network controller. The controller is the use of BP neural network and hybrid least squares training algorithm parameters can be accurately summed up the amount of input and output fuzzy membership function and fuzzy logic rules. Mamdani-type controller with a simulation comparison shows that the Sugeno-type fuzzy neural network controller for the three-tier control of inverted pendulum system with good stability and fast, as well as a higher control precision.)

基于多点的快速傅立叶变换算法C++开发环境(based on multi-point fast Fourier transform algorithm C Development Environment)

信号测量矩阵，如何选取测量矩阵！！！！！！！！！！！(Signal measurement matrix)