RD_zhukang

该代码为用matlab编写的训练神经网络拟合典型函数曲线的经典程序。(The code is made for training neural network to fit the classical function profile.)

：文章从满足C 17设计基本要求人手，阐述了避免严重失速的机理、操纵失效概率、所有发动机停车操 纵以及安全复飞要求。对综合飞行控制系统设计做了介绍。对满足上述要求的FCS特性做了描述。最后对早期的飞行试验结果作了分析。(: Articles from the design to meet the basic requirements of C 17 staff, described the mechanism to avoid serious stall, control failure probability, all the engines go around parking control and security requirements. The integrated flight control system design is introduced. FCS on the properties meet the above requirements was described. Finally, the early flight test results are analyzed.)

基于matlab的成绩统计表，输入成绩，自行统计最高分，最低分，均分等(Matlab-based performance statistics, enter grades, self Statistics highest score, lowest score, sharing, etc.)

说明：  任务：设计一个4×2.5Gbit/s 长距离光纤传输系统，并利用OptiSystem 仿真验证。 要求： 1．采用波分复用技术，波长设置以100GHz 为间隔，频率分别为193.1THz、193.2THz、193.3THz、193.4THz，每个波长传输速率为2.5Gbit/s（NRZ），传输距离为300km。采用常规光纤，光纤损耗系数为0.25dB/km。 2．单通道光发送机最大输出功率为0dBm，光接收机的接收光功率不低于－26dBm，过载点为－10dBm。 3．可以采用EDFA 作为线路放大器，其中EDFA 的输入功率限制在－18～2dBm，最大输出功率20dBm，增益范围为13～25dB，噪声指数4.0dB。(Task: Design a 4 x 2.5 Gbit/s long-distance optical fiber transmission system, and use OptiSystem simulation to verify. Requirement: 1. Using wavelength division multiplexing technology, the wavelength is set at 100GHz intervals, with frequencies of 193.1 THz, 193.2 THz, 193.3 THz and 193.4 THz, respectively. The transmission rate of each wavelength is 2.5 Gbit/s (NRZ), and the transmission distance is 300 km. The loss coefficient of conventional optical fibers is 0.25dB/km. 2. The maximum output power of a single-channel optical transmitter is 0 dBm, and the receiving power of an optical receiver is not less than -26 dBm, and the overload point is -10 dBm. 3. EDFA can be used as line amplifier, where the input power of EDFA is limited to - 18-2dBm, the maximum output power is 20dBm, the gain range is 13-25dB, and the noise index is 4.0dB.)

说明：  lda是一个集合概率模型，主要用于处理离散的数据集合，目前主要用在数据挖掘（dm）中的text mining和自然语言处理中，主要是用来降低维度的(lda is a set of probability models, mainly for dealing with discrete data sets, the key used in data mining (dm) in the text mining and natural language processing, is mainly used to reduce dimension)

matlab实现的读取envi标准格式的代码，对于搞遥感的人来说，很有用(read envi standard file)

This code can be used to detect copy move image forgery based on SIFT algorithm

调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧, ( The debugging uses the Matlab edition is 6.5, gatbx-toolbox debugs the toolbox which in the process uses, somewhat warm-hearted ground the friend already to provide this toolbox, the reason that pasted again, was because under 6.5 editions debugged this toolbox to be able to present some wrong prompts, had already carried on the correction in this edition, will use this toolbox only to need to compress package of under gatbx and gatbx Test_fns joins to the Matlab search path then, moreover gatbx-origin was the primitive edition toolbox which the Sheffield university provided, has not made any modification, both might make the comparison are the example debugging sound code and various examples debugging explained with 3.gatbx-example, everybody might compare the original bookCarries on comparison 4. in my opinion under the gatbx toolbox s to be able to let the human compared with Matlab7 update gads toolbox be familiar with the understanding genetic algorithm principle and)

简单遗传算的代码，也不是我自己写的，但是我亲自调过能用的(Simple genetic algorithm code, not my own writing, but I personally emphasized the use of)

说明：  自建了一个matlab-simulink单机无穷大系统模型，用于进行简单的单机无穷大系统仿真实验(Self-built a matlab-simulink single-machine infinity system model for simple single-machine infinite system simulation experiments)