dd_tools_1_5_7

BP（Back Propagation）网络是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。 BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。 它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。 通过对信息的提取以及记忆，用作分类、聚类、预测等。 (BP (Back Propagation) network is a pre-press error back propagation algorithm Multilayer feedforward network, is one of the most widely used neural network model. BP network can learn and store a large amount of input- output mode mapping without prior reveal mathematical equations that describe the mapping relationship. It s learning rule is to use the steepest descent method, by reverse spread to constantly adjust the network weights and thresholds and the minimum sum of squared error of the network. BP neural network topology comprises an input layer (input), hidden layer (hide layer) and an output layer (output layer). By extracting information and memory, it is used as classification, clustering, prediction.)

用matlab中详细搭建的VSC的模型，可以使用，并且很好使用(Matlab detailed VSC model, can be used, and very good use)

Find local minimum in matlab

粒子群优化算法（PSO）应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可(Particle Swarm Optimization (PSO) used neural network optimization program. Divided into no hidden layer, a hidden layer, two hidden layers. You can run DemoTrainPSO.m)

ransac程序，在他人的基础上改进，增进了速度，经过测试，可直接应用于遥感影像匹配去除误差较大点，希望对大家有用。(ransac program, others based on improvements and increased speed tested, can be directly applied to the remote sensing image matching remove errors larger point, and hope to be useful.)

详细功能图像处理的实施、包含内容说明 原理例子 图像说明(The implementation of the detailed functions of image processing, including the content description schematic example of image description)

Astrodynamics library file crack

输入任何三尺度多小波的尺度函数的系数，可画出其图象(Enter any three-scale Multiwavelet coefficient scaling function can draw its image)

计算机视觉的经典教材，最权威的著作，此领域必备(a classic book on computer vision, which is very famous and a must in this area)

Implementation of a WiMAX simulator in Simulink