PLSPRED

bp神经网路在地震预测中的应用，分别采用gd、gdx、lm训练方法，供大家参考~(bp neural network in the earthquake prediction, respectively, using gd, gdx, lm training methods for your reference ~)

分布傅立叶法求解脉冲在光纤中的传输求解非线性薛定谔方程(Fourier method to solve the distribution of pulses in optical fiber transmission for solving nonlinear Schr?dinger equation)

Neural Network with multiple inputs and multiple output with training data in file name Twod is trained using steepest descent algorithm.After training data ,we can test a new set of data

天气雷达数据处理，该函数可以读取nc格式的雷达数据(Weather radar data processing, this function can be read nc radar data format)

用matlab编写的kalman滤波源程序，经过详细测试绝对可以可靠使用(Prepared using matlab kalman filter source code, after careful testing can certainly use a reliable)

cobol source to show the basic function of cobol

雷达系统设计matlab仿真，代码，美国：Bassem R.Mahafza著(Radar system design matlab simulation code, USA: Bassem R.Mahafza the)

经典的k均值聚类算法，用于无监督学习和数据分类，广泛应用于数据处理和模式识别领域(Classical k-means clustering algorithm for unsupervised learning and data classification, widely used in data processing and pattern recognition)

este es el rar del li bro compleijdiad dimensional en rres dmientiones

Combining some labeled images is a quite common and useful task in image analysis. That s something we may want to do to prepare the markers for a watershed from markers for example, or to write the output of several segmentations in a single file. This article comes with three new filters to make the combination of labeled images easier with ITK. This contribution also try to provide an implementation better integrated with the ITK pipeline model than the itkMultipleUnlabeledImagesToLabeledImageFilter contribution.