dandaofangzhen

某市有一码头，每次仅容一辆船停泊装卸货，由于经常有船等候进港，部分人提出要扩建码头。经过调查历史资料发现，码头平均每月停船24艘，每艘船的停泊时间为24±20小时，相邻两艘船的到达时间间隔为30±15小时，如果一艘船因有船在港而等候1小时，其消耗成本为1000元。经预算，扩建码头大约需要1350万元，故市长决策如下：如果未来五年内停泊船只因等候的成本消耗总和超过扩建码头花费则扩建码头，否则，不予扩建。因此，希望你能够帮助市长做出决策。此问题已知到达的大概时间和大概停泊时间，对于此问题用概率统计的方法来做比较复杂，可用程序随机产生到达时间和停泊时间来模拟未来五年内船的停泊，多次模拟预测停泊情况，以做出决策(。-Problem in a city with a terminal expansion dock, each only allow a boat moored loading and unloading, as often there are waiting boat into port, some people proposed to expand pier. Terminal stopping 24 per month, per vessel berthing time of 24 ± 20 hours, the arrival of two adjacent vessels interval 30 ± 15 hours, if a ship due to boat in the harbor while waiting for one hour, and its consumption cost of 1,000 yuan. The budget of about 13.5 million yuan expansion dock, so the mayor decision as follows: If a ship is moored next five years, the cost of waiting more than the sum of consumption spending is expanding marina pier extension, otherwise, not expanded.)

说明：  哈工大matlab讲义(HIT matlab lecture notes)

纯MATLAB代码，不需要在使用SIFTWIN322可以直接运行的代码 ，经测试可直接使用。 (Pure MATLAB code, do not need to use SIFTWIN322 can run code has been tested and can be used directly.)

说明：  关于VC++与Matlab混合编程的一些参考文献，很有参考价值(On VC++ and Matlab programming mix some reference, a good reference)

说明：  BP算法是为了解决多层前向神经网络的权系数优化而提出来的；所以，BP算法也通常暗示着神经网络的拓扑结构是一种无反馈的多层前向网络(BP algorithm is to solve the multi-layer feedforward neural network weights optimization and put forward Therefore, BP algorithm usually implies that the topology of neural network is a multi-layer feedback-free network)

说明：  神经网络设计书籍配套源码，Matlab的只有源码，没有配套教材哦(neural network design books matching source, the only source of Matlab, oh no supplementary materials)

开关磁阻风力发电系统数字信号处理器28335程序，双闭环(Switched Reluctance wind power generation system 28335 digital signal processor program, dual-loop)

压缩感知，对人脸进行跟踪的程序,今年欧洲图像会议的程序(Compressive Sensing，face track ,program )

STEINWAY GRAND PIANO V1.2 (082800) LIGHT & BRIGHT VERSION

基于matlab的7阶不变矩,以源码的形式展示出来(Based on the 7-order invariant moments matlab)