红蓝军对战

很不错的php聊天室源码,提供给大家学习-Very good source php chat room, available to everyone to learn

本文详细讲述了图像细化算法的基础知识，能够给研究图像细化算法的图像处理工作者提供较好的参考-In this paper, a detailed account of the image thinning algorithm based on knowledge, able to image thinning algorithm to the study of image processing workers to provide better reference

C语言程序设计源程序！实现学生的输入，查询，插入，删除等功能-C programming language source code! Students realize the input, inquiries, insert, delete function

Access数据库操作类,php连接access数据库和操作acess数据的方法，通过几个类来实现，应用起来也更全面-Access database operations class, php connect access database acess data and operation methods, through several classes to implement, apply themselves more fully

编写一个Java程序，用于输出Fibonacci数列的前20项。 提示：Fibonacci数列定义为:第一、二项的值为1，从第三项开始依次为前两项的和。 Fibonacci[0]=Fibonacci[1]=1 Fibonacci[i]=Fibonacci[i-2]+Fibonacci[i-1] (i>=2) -Write a Java program for Fibonacci series, the first output 20. Tip: Fibonacci sequence is defined as: first, two of the value of 1, starting from the third and was followed by the first two. Fibonacci [0] = Fibonacci [1] = 1 Fibonacci [i] = Fibonacci [i-2]+ Fibonacci [i-1] (i> = 2)

asp写的一个mp3播放器(带源码)，供学习交流-asp Writing an mp3 player (with source) for the exchange of Study

这是我们老师给我们的软件工程的实验指导书 有详细的原代码和结果] 望大家喜欢-This is our teachers to our software engineering experiment detailed guidance on the original code and the results] hope you like

Microsoft Visual C++ 5.0 vc++ 5.0 vc5.0 安装盘-Microsoft Visual C++ 5.0 vc++ 5.0 vc5.0 installation disks

交换学习,希望大家资源共享,如果需要请多多上传经典的原代码,相互学习-exchange study, we hope that the sharing of resources, if you will need to upload the classic source, learn from each other Thank you

在机动目标跟踪中，机动目标模型是机动目标跟踪的基本要素之一，一般希望机动目标模型能准确表征目标机动时的各种运动状态。比较常用的模型有匀速运动(CV)模型、匀加速运动(CA) 模型、时间相关模型（Singer）和机动目标“当前”统计模型。上述模型均采用机动频率表征目标的机动情况。在应用当中，通常采用固定的机动频率，这就表示机动目标的机动时间是一定的，而实际上机动目标的机动时间是不断变化的，也就是说机动频率是不断变化的，采用固定机动频率必然会带来误差。采样周期在0.5―2S时，机动频率越小跟踪精度越高[1]，但机动频率仍然是固定值。本文提出的基于神经网络的机动频率自适应调整方法可以使机动频率随机动而变化，从而提高状态估计的准确性，提高跟踪精度。本文将小波神经网络用于机动目标跟踪中机动频率的自适应调整，该算法对机动目标“当前”统计模型中的机动频率进行实时修改, 从而自适应的改变机动频率,使跟踪算法与目标的真实状态更接近。该算法采用小波神经网络的离线训练，实时性好。-The maneuver of the maneuvering target is uncertain. The maneuvering frequency is constantly changeable, but traditionally it is beforehand determined as a constant based on the target state estimation in the state model of the maneuvering target. The maneuver of the maneuvering target makes the kinematics equation of the target model mismatch with the practical motion model and the tracking error will be increased. Based on the advantages of the self-learning, the rapid convergence rate and the nonlinear approximation ability of the wavelet neural network,