chirp

6根杆四个节点，建立有限元模型，进行受力刚度等分析(Six strokes to four nodes, the establishment of the finite element model for stress analysis of stiffness, etc.)

计算单模光纤入射的光纤传感器光强调制函数(Calculated single-mode fiber optical sensor light incident stress system function)

一个简单的电梯模型，使用matlab软件编写的程序仿真出电梯模型(A simple elevator model, the use of simulation matlab software programs written out of the elevator model)

RBF人工神经网络的分类和回归方法的仿真(RBF artificial neural network classification and regression simulation)

自相关法谱估计的程序，这是一种经典的方法，效果真心不错(Autocorrelation spectrum estimation procedure, which is a classic method, the effect is really good)

直升机显模型跟踪控制系统仿真实例（MFCS）控制仿真，具有实用性的控制方法！(helicopter MFCS control system simulation。)

主要讲述球形译码的详细步骤，包括信道仿真，球状译码的实现，还有在仿真图形的对比(Mainly about the the sphere decoding steps, including channel simulation spherical decoding implementation, as well as in the comparison of the simulation graphics)

库恩塔克算法matlab程序(Kuhn Tucker algorithm matlab program,Kuhn Tucker algorithm matlab program,Kuhn Tucker algorithm matlab program,Kuhn Tucker algorithm matlab program)

Proteins _ String Kernel

BP神经网络预测公路运量 1.问题的描述 公路运量主要包括公路的客运量和公路货运量两个方面。据研究，某地区的公路运量主要与该地区的人数、机动车数量和公路面积有关，表1给出了20年得公路运量相关数据，表中人数和公路客运量的单位为万人，机动车数量单位为万两，公路面积的单位为万平方千米，公路货运量单位为万吨。 根据有关部门数据，该地区2010年和2011年的人数分别为73.39和75.55万人，机动车数量分别为3.9635和4.0975万辆，公路面积将分别为0.9880和1.0268万平方米。请利用BP神经网络预测该地区2010年2011年得公路客运量和公路货运量。 (BP neural network to predict the road traffic (1) description of the problem of road traffic including road passenger and road freight volume two. According to research, an area of ​ ​ road traffic and the number of the region, the number of motor vehicles and road area, Table 1 shows the 20 years have to road traffic-related data, the table number and road passenger traffic units for people , million two units of the number of motor vehicles, road area in square kilometers, the highway freight volume was 10 000 tons. According to relevant data, the number of people of the region in 2010 and 2011 were 73.39 and 75.55 million, the number of motor vehicles were 3.9635 and 4.0975 million units, the road area were 0.9880 and 1.0268 million square meters. Please use the BP neural network in the region in 2011, 2010 have highway passenger volume and road cargo.)