bpnn

diagen, modeling diagenesis trend for sediments

使用matlab语言编程解决非线性规划问题(Using matlab language programming to solve nonlinear programming problems)

Denoising the Signals using Kalman Filter for Target Tracking in Wireless Sensor networks

GMDH Neural Network Implementation

上传自己修改的多目标程序，大家下载有空可以和我讨论，谢谢，站长发布(Upload your own modified multi-objective process, everyone can download the free discussion and I, thank you, head Releases)

关于空域滤波的实现 包括几种算法的实现 很好(nksakh)

noise power estimation

在天然地震数据中提取频散曲线，研究面波的频散特性。有很好的效果。(Seismic data extracted natural dispersion curves, dispersion characteristics of surface waves. Have a good effect.)

说明：  隐马尔科夫模型是关于时序的概率模型，描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列，再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列，称为状态序列；每个状态生成一个观测，而由此产生的观测的随机序列，称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)

An XPath package started shipping as part of Java 5, so we can use it from MATLAB. This is a simple example showing how to use XPath from MATLAB.