importAgilentBin

基于文化算法的粒子群优化算法能记忆遍历过的最优值(Culture-based particle swarm optimization algorithm to traverse through the optimal value of the memory)

人工神经网络讲义，作业，例程，供专业人员参考(Artificial neural network lecture notes, assignments, routines for professional reference)

实现语音的采集，变换，滤波器的设计以及滤波后的语音信号的显示和频谱变换(failed to translate)

matlab环境下，高斯脉冲的微分函数仿真(matlab environment, the Gaussian pulse of the differential function simulation)

一个Matlab环境下编写的流行学习（manifold)算法，可用于图像特征提取及行为模式提取(Matlab environment to prepare a prevalence study (manifold) algorithm, can be used for image feature extraction and pattern extraction)

说明：  基于核函数的偏最小二乘算法，先对原矩阵进行核函数非线性变化，再用非线性迭代求解(Kernel-based partial least-squares algorithm, first the original non-linear function of changes in the nuclear matrix, and then non-linear iterative solution)

Drools5 Drools5(Drools5 develop )

雷达信号处理，包括CFAR检测，脉冲压缩等过程。(radar detection and signal dealing, including the CFAR, and pulse compression)

The Siegert Neuron has a transfer function equivalent to a leaky integrate-and-fire neuron

MMT is a Matlab toolbox implementing the multi-task Lasso models, including: (i) the Lasso (ii) the standard multi-task Lasso, i.e. the group Lasso (iii) the structured input-output multi-task Lasso, a.k.a. the two-graph guided multi-task Lasso proposed in [1]. The last case (iii) subsumes the special cases: tree-guided and the feature-graph guided multi-task Lasso. The core optimization algorithm for solving this model is developed in C to enhance greater computational efficiency. In particular, current scalability of the coefficient matrix that has been tested for MMT is 104*104! The structured input-output multi-task Lasso model is well-suited for addressing the expression quantitative trait loci (eQTL) mapping problems which are of the intrinsic high-dimensional nature. Details can be found in [1].