▍1. download-(1)
Genetic algorithms have made a real impact on all those problems in which there is not enough information to build a diff erentiable function
更多选项
▍2. camera-calibration
本文成功的开发了足球机器人视觉识别系统,首先应用基于LVQ神经网络的颜色识别算法进行指定颜色属性的物体的识别,接着提出小球和机器人小车的识别算法,应用训练收敛后的神经网络进行摄像机隐式标定。(In this paper, the successful development of soccer robot vision recognition system, first applied to identify the properties of the specified color based on the color of objects LVQ neural network recognition algorithm, and then made a small ball and robot car recognition algorithm, the application of neural network training convergence for camera Implicit calibration.)
▍3. MPPT
光伏阵列受到局部阴影遮蔽时其}-v特性会呈现多峰特性，出现多个局部峰值。为了避免传统最大功率点跟踪算法在此情况卜难以找到全局的最大功率点，文章提出了一种优化最大功率点跟踪算法，该算法适用于局部和全局阴影发生的情况、在局部阴影情况卜，通过MATLAB仿真和样机试验与传统最大功率点跟踪算法相比，该优化算法能够判断阴影遮蔽情况是否发生，在局部和全局均一阴影的情况卜都能够跟踪到全局最大功率点避兔光伏阵列的功率损失提高光伏系统效率 (PV array by the partial shadowing its}-v characteristics are presented multimodal features, there are a number of local peaks. In order to avoid the maximum power point tracking algorithm in this case is difficult to find the global BU maximum power point, the article presents an optimized maximum power point tracking algorithm, which applies to the situation of local and global shadow occur in partial shade situation Bu, compared by MATLAB simulation and prototype testing with the traditional maximum power point tracking algorithm, the optimization algorithm can determine whether shadowing occurs in the case of local and global uniform shadow BU are able to track the maximum power point of the global PV array power to avoid rabbit improve the efficiency of photovoltaic systems loss)
▍4. eT2FIS--An-Evolving-Type-2-Neural-Fuzzy-Inference
eT2FIS- An Evolving Type-2 Neural Fuzzy Inference System
▍5. eT2FIS--An-Evolving-Type-2-Neural-Fuzzy-Inference
eT2FIS- An Evolving Type-2 Neural Fuzzy Inference System
▍6. 6DOF-Trajectory-Planning
通过对六自由度机械臂的轨迹规划的具体分析!基于其运动学模型的算法的模拟实现!关节空间中的轨迹规化等方面的全过程的研究,阐述了机器人轨迹规划的一般规律"运用的规划方法可以很好解决在机械臂在工作过程中的平稳性,以及控制时的实时性和精确性等矛盾问题" (Through the six degrees of freedom manipulator trajectory planning of specific analysis! Algorithm based on its kinematic model simulation to achieve! Joint space trajectory regulation and other aspects of the whole process of research, explains the general rules of robot trajectory planning " the use of planning approach can be solved in the course of their work at arm' s stability, as well as real-time control and accuracy such contradictions. " )
▍7. 6DOF-Trajectory-Planning
通过对六自由度机械臂的轨迹规划的具体分析!基于其运动学模型的算法的模拟实现!关节空间中的轨迹规化等方面的全过程的研究,阐述了机器人轨迹规划的一般规律"运用的规划方法可以很好解决在机械臂在工作过程中的平稳性,以及控制时的实时性和精确性等矛盾问题" (Through the six degrees of freedom manipulator trajectory planning of specific analysis! Algorithm based on its kinematic model simulation to achieve! Joint space trajectory regulation and other aspects of the whole process of research, explains the general rules of robot trajectory planning " the use of planning approach can be solved in the course of their work at arm' s stability, as well as real-time control and accuracy such contradictions. " )
▍8. shenjingyuhwuqiong
神经网络的算法和h无穷控制理论的基本理论(H neural network algorithms and the basic theory of infinite control theory)
▍9. shenjingyuhwuqiong
神经网络的算法和h无穷控制理论的基本理论(H neural network algorithms and the basic theory of infinite control theory)
▍10. 62
说明： 对重分配小波尺度谱存在着时、频分辨率不能同时达到最佳及当振动信号中存在着能量较大的噪声时会降低其时频分布可读性的缺陷，提出一种基于参数优化和奇异值分解(SVD)提高重分配尺度谱时频分布可读性的方法。首先利用Shan— non熵方法优化重分配尺度谱基函数的时间．带宽积(TBP)，克服其时、频分辨率不能同时达到最佳的缺陷，再对重分配尺度谱 进行SVD降噪降低噪声干扰影响，提高时频分布的可读性。最后用该方法对仿真信号和滚动轴承故障信号进行了分析，结果表明该方法的时频聚集性更好，抗噪能力更强，能更有效地识别强噪声背景下的机械故障特征。(Redistribution wavelet scale spectrum for the existence of time and frequency resolution can not be reached when the vibration signal is the best and the existence of large noise energy will reduce the time-frequency distribution readability defects is proposed based on parameter optimization and Singular value decomposition (SVD) to improve spectrum reallocation time-frequency distribution readability scale approach. Firstly, Shan-non entropy method to optimize re-allocation of the time-scale spectral basis functions. Bandwidth product (TBP), to overcome the time and frequency resolution can not achieve the best defect, and then the re-allocation of spectrum SVD scale noise reduce noise interference and improve the readability of time-frequency distribution. Finally, the method and the rolling bearing fault signal simulated signals were analyzed, the results show that the method of time-frequency aggregation better noise immunity stronger, can more effectively identify strong noise ch)
▍11. machine-learning-for-hackers
重点放在讲怎么用R做数据挖掘，机器学习的算法更多的是通过黑箱的方式来讲，强调input,output含义，弱化机器学习算法细节。文中基本都是通过case来讲述怎么去解决问题，并且提供了原始数据供自己分析。（我认为这是这本书的最大优势）(Focus on talking about how to use R to do data mining, machine learning algorithms more in terms of the way through the black box, emphasizing the input, output meaning, weakening machine learning algorithm details. This paper basically tells how to go through the case to solve the problem, and provides the raw data for their own analysis. (I think this is the biggest advantage of this book))
▍12. Data-Mining-with-R---Learning-
R语言在数据挖掘中的应用，R是一种数据分析的良好软件。(R language in data mining applications, R is a good data analysis software.)
▍13. Fuzzy-mapping-for-robot-navigation-
基于栅格地图的机器人模糊地图创建方法的介绍知识。(Raster map-based robot fuzzy map to create a method of introduction of knowledge.)
▍14. Opposition-based-Stud-Genet
为进一步提高螺栓遗传算法的优化效率，加速寻优过程，提出基于对立策略的螺栓遗传算法。该算法在种群初始化阶段和变异阶段均用对立取代随机方式，提高产生解的质量。利用测试函数对算法的效率进行检验，将其与差分算法、遗传算法、粒子群算法和螺栓遗传算法进行对比，结果表明，新算法具有更快的收敛速度和更高的求解精度。(In order to improve the performance of Stud Genetic Algorithm(SGA) and accelerate the convergence speed, an improved stud genetic algorithm based on opposition is proposed. Conventional random method is replaced with opposition method in both population initialization and mutation, which can improve the quality of solutions. Based on benchmark functions, the optimization performance of the algorithm is compared with genetic algorithm, different evolutionary, particle swarm optimization and stud genetic algorithm, the results show that the new algorithm has better optimization performance.)
▍15. Ant-Colony-Algorithm-Based
提出一种基于启发式变异的蚁群算法，结合传统蚁群算法和遗传变异算法的优点，利用蚁群算法找到一条全局近优解，采用启发式变异进行路径优化，并将优化信息以信息素的方式传递给下一代，从而快速得到全局最优解(】This paper proposes an Ant Colony Algorithm based on Heuristic Mutation(ACAHM), combining with the advantage of the traditionalAnt Colony Algorithm(ACA) and the genetic mutation algorithm. ACA is used to find a globally near optimal solution, and then it is optimized bythe heuristic mutation.)
▍16. A-Modified-Artificial-Fish
本文采用了自适应调制参数的方式对算法进行了改进，并用6个测试函数，结果表明，改进后的算法效果优异(In this paper, an adaptive AFSA algorithm is presented by adjusting the parameter automatically in basic AFSA. Six benchmark functions are used to check the performance of the new method. It shows the adaptive AFSA algorithm has great effect on improving the precision of optimization.)
▍17. UCAV-Path-Planning-Based-on-MAX-MIN
：为了保证无人作战飞机(UCAV)以最小的被发现概率和最优的航程到达目标点，在敌方防御区域内执 行任务前必须进行航路规划。蚁群优化(ACO)算法的并行实现机制适合于复杂作战环境下的UCAV航路规划，但是基本ACO算法有易陷于局部最优解的缺点(Abstract：To ensure unmanned combat aerial vehicle(UCAV)to reach the destination with an optimal path and a minimum rate to be foun d，UCAV path plan ing must be ma de before mission execution．The parallelism of an t colony optimization(ACO)is feasible in UCAV path planning under complicated combat environments)
▍18. RBF-Hammerstein
基于RBF神经网络的Hammerstein模型辨识,研究建立被控对象或过程数学模型的一种理论和方法(The Hammerstein model based on RBF neural network identification, research to establish the mathematical model of controlled object or process a theory and method )
▍19. Design-and-implementation
基于遗传和模拟退火算法的自动组卷系统设计与实现(Design and implementation of automatic test paper based on genetic algorithms and simulated annealing)
▍20. Introduction-to-Robotics-3rd-Edition
An introduction to robotics and control by JJ Craig
本站资源：696524 个
本站会员：103838 个
总计下载：487570 次
今日上传：0 个
- 优秀论文及配套源码 SVM Short-term-Load-Forecasting
- 综合能源优化含储能
- 用遗传算法改进粒子群GA-PSO算法
- 通过粒子群能够很好的解决优化问题 pso
- 天牛群算法 BSO
- 混沌粒子群优化算法
- 2019年中国研究生数学建模竞赛E题
- 智能算法的Matlab仿真程序及教程
- 《MATLAB R2016a神经网络设计与应用28个案例分析》随书代码
- BAS BP论文及代码
- denoising
- Airy 基模高斯光束
- EMS Microgrid
- 2012年全国大学生数学建模竞赛题目--葡萄酒的评价Wines-Evaluation
- GA-bp
- 本人调试的大作业 源程序模型+论文 intelligent_control_modle
- LSTM的例子、单向LSTM、双向LSTM、多层LSTM
- 遗传算法优化BP网络案例
- 通过yalmip平台调用cplex求解器 microgrid Cplex
- 基于lstm算法在MATLAB对短期风速进行预测 LSTM-regression-master
