▍1. DeltaXYZ
并联机器人解方程并联机器人解方程并联机器人解方程(Parallel solution of the equation)
并联机器人解方程并联机器人解方程并联机器人解方程(Parallel solution of the equation)
智能优化算法及其应用.pdf 对于研究多目标优化的同学很有参考价值(Intelligent optimization algorithm and its application. A PDF for the study of multi-objective optimization classmate has a reference value)
提出了一种新的基于非下采样轮廓波NSCT和脉冲耦合神经网络PCNN相结合的自适应图像融合方法.对已经配准的源图像进行NSCT分解得到低频子带系数和不同方向的高频子带系数.对NSCT分解的低频部分采用简单的加权平均融合规则(Proposed a new profile based on non-downsampling wave NSCT and PCNN PCNN combining adaptive image fusion method. Which has been the source image registration NSCT decomposition subband coefficients and the high frequency sub-band in different directions coefficient. NSCT decomposition for the low frequency part using a simple weighted average fusion rules)
提出了一种新的基于非下采样轮廓波NSCT和脉冲耦合神经网络PCNN相结合的自适应图像融合方法.对已经配准的源图像进行NSCT分解得到低频子带系数和不同方向的高频子带系数.对NSCT分解的低频部分采用简单的加权平均融合规则(Proposed a new profile based on non-downsampling wave NSCT and PCNN PCNN combining adaptive image fusion method. Which has been the source image registration NSCT decomposition subband coefficients and the high frequency sub-band in different directions coefficient. NSCT decomposition for the low frequency part using a simple weighted average fusion rules)
这是一个好的建模学习资料,赶快下载吧, 数学建模十大算法 ( 包含:蒙特卡罗算法、数据拟合、参数估计、 插值等数据处理算法、线性规划、整数规划、多元规划、二次规划等规划类问题、 图论算法、动态规划、回溯搜索、分治算法、分支定界等计算机算法、 最优化理论的三大非经典算法:模拟退火法、神经网络、遗传算法、 网格算法和穷举法、一些连续离散化方法、数值分析算法、图象处理算法)(This is a good model to study the information, download it quickly, mathematical modeling algorithm 10 (includes: Monte Carlo algorithm, data fitting, parameter estimation, interpolation of data processing algorithms, linear programming, integer programming, diversity planning, Quadratic Programming Programming category of zoning, graph algorithms, dynamic programming, backtracking search, divide and conquer algorithm, branch and bound algorithm computer, optimization theory of the three non-classical algorithm: simulated annealing, neural networks, genetic algorithms, network lattice algorithms and exhaustive, some consecutive discrete method, numerical analysis algorithms, image processing algorithm))
讲诉一群黑客的经历和故事,非常值得兄弟们一看。(Heroes of the Computer Revolution)
讲诉一群黑客的经历和故事,非常值得兄弟们一看。(Heroes of the Computer Revolution)
元胞自动机和格子玻尔兹曼方法的应用介绍。是较经典的阅读材料(Cellular Automata and Lattice Boltzmann Method to the application. Is a more classic reading material)
在无线网络中的各种路由算法,用Matlab进行仿真算法(In a variety of wireless network routing algorithm, using Matlab simulation algorithm)
使用ANSYS的APDL语言仿真复合材料板的逐渐失效。。使用吴蔡失效准则模拟失效过程,并进行刚度退化。(Using the ANSYS APDL language emulation gradual failure of composite panels. . Cai Wu failure criterion using simulated failure process and conduct stiffness degradation.)
高速Serdes接口协议规范,包括电器层,传输层,数据链路层。传输层包括组帧方式,加扰,字节替换等内容,数据链路层包括Tx和Rx设备的握手通信协议(Speed Serdes interface protocol specifications, including electrical layer, transport layer, data link layer. Transport layer including group frame mode, scrambling, etc. byte is replaced, the data link layer device includes Tx and Rx communications protocol handshake)
极值优化论文2:改进的极值优化算法及其在组合优化问题中的应用研究.(Global optimization Paper 2: Improved global optimization algorithm and its application in combinatorial optimization problems.)
文章名:采用极值优化算法求解动态组合拍卖问题。为网上组合拍卖设计了向上叫价代理拍卖机制。(Article: global optimization algorithm for dynamic combinatorial auction problem. Auction online portfolio designed bid up proxy auction mechanism.)
RF description in detailed manner
Installation of ns-2 on windows
SFS算法的一篇文章,针对传统SFS( shape fr om shading ) 必须已知光源参数的缺陷, 提出了一种新的使用神经网络恢复单幅未知光源参数环境中物体三维形状的方法。(SFS algorithm an article, in view of the traditional SFS (shape fr om shading) must be known source parameters of defects, this paper proposes a new environment using neural network to restore a single light source unknown parameters in the method of 3 d shapes.)
Grnn神经网络交叉验证,matlab中可实现代码文档(Grnn nerve network cross-validation, matlab in the can be to achieve the code documentation)
实现综合评价问题的7种方法:包括秩和比法、神经网络评价法、熵值法、模糊综合评价法、层次分析法、变异系数法、TopsIs法,里面有文献、和各种方法的对比(7 ways to achieve a comprehensive evaluation of the problem: including rank and ratio method, neural network evaluation method, entropy method, fuzzy comprehensive evaluation method, AHP, the coefficient of variation method TopsIs law, there is also literature, and a variety of methods contrast)