gmsk2

说明：  matlab三角插值算法(matlab triangle interpolation algorithm)

粒子群优化算法，优化处理，matlab代码，学习必看(Particle swarm optimization, optimization of processing, matlab code, learning must-see)

Implementation of regular expresions on Powerbuilder

power electronics inverter control

用于正交试验求极差 可做m文件用 只要根据图中输入数字便可生成结果(Use of orthogonal test to find the difference)

Pattern search (also known as direct search, derivative-free search, or black-box search) is a family of numerical optimization methods that does not require a gradient. As a result, it can be used on functions that are not continuous or differentiable. One such pattern search method is "convergence" (see below), which is based on the theory of positive bases. Optimization attempts to find the best match (the solution that has the lowest error value) in a multidimensional analysis space of possibilities.

desribes how to connect pscad through matlab

提取精密星历的轨道信息，将其存放在数组中便于计算卫星的运行轨道(Extract precise orbit ephemeris information and store it in an array to facilitate the calculation of satellite orbit)

改进粒子群算法优化BP神经网络的权值，建立BP神经网络(Improved PSO algorithm optimizes the weights of BPneural networks to establish the neural networks.)

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)