K_L

说明：  自适应共振理论网络 用来进行模式分类联想记忆效果很好，误差率极低，能正确识别(Adaptive Resonance Theory networks used for pattern classification associative memory with good results, the error rate is very low, able to correctly identify)

以实际所测随机中子脉冲数据的自相关函数为研究对象，借助仿真实验，开展Elman神经网络对不同浓度核材料进行识别的研究。在实测数据的基础上，通过叠加随机噪声，模拟产生了不同浓度核材料的相关函数样本用于神经网络的训练与测试，实验结果表明，(Calculating the stochastic neutron pulse autocorrelation function with the actually measured data as the research object, we carry out different simulate experiments in concentration identification of varied nuclear materials using Elman neural network. Superimposing random noise on the measured data, we get correlation function samples simulating the different concentrations of nuclear material for training and testing the neural network.)

ITD进行模态识别，得到模态参数,ITD 法是一种单输入多输出、基于包含系统参数的自由振动方程识别结构参数的方法，(ITD modal identification, get the modal parameters.ITD method is a single-input multiple-output, based on the structure of the free vibration equation parameters include system identification method parameters,)

matlab的粒子群算法工具箱(PSO toolbox)，用于求解极值等(matlab PSO toolbox)

主要是计算LD中光场的分布，以及在稳态条件下载流子的增益，属于稳态条件下简单的情况(Mainly calculated in LD light field distribution, and the steady-state condition downloading carriers gain, belonging to steady state conditions the simplest case)

LTE for UMTS OFDMA and SCFDMA Based Radio Access

distance vector routing algorithm

无线传感器网络中基于地理位置路由算法研究的改进——基于两跳邻居节点(Wireless sensor networks to improve location-based routing algorithm- based on two-hop neighbor nodes)

ADIAL Basis Function (RBF) networks were introduced into the neural network literature by Broomhead and Lowe [1], which are motivated by observation on the local response in biologic neurons. Due to their better approximation capabilities, simpler network structures and faster learning algorithms, RBF networks have been widely applied in many science and engineering fields. RBF network is three layers feedback network, where each hidden unit implements a radial activation function and each output unit implements a weighted sum of hidden units’ outputs.

关于MATLAB的经典教程，百看不厌，十分经典。(classic tutorial about matlab,and it is suitable fot the fresh man.)