▍1. SMGBD
色彩管理流程中利用SMGBD对打印机进行分区后色域边界描述(Color management process using SMGBD after partition on the printer gamut boundary description )
以优化SVR算法的参数c和g为例,对DE(差分进化)算法MATLAB源码进行了详细中文注解。(Differential Evolution algorithm (DE) is a heuristic random search algorithm based on group differences. This algorithm is proposed by R.S and k.p. rice for solving Chebyshev polynomials. DE algorithm is also an intelligent optimization algorithm, which is similar to the previous heuristic algorithm, such as ABC, PSO, etc., which is a heuristic optimization algorithm. The DE algorithm is an optimization algorithm that I used in solving the case study of box coverage.)
工况识别,用于各种工况下的仿真模拟,效果很好(Working condition identification)
说明: 根据各飞行阶段进行飞行轨迹仿真包括起飞、巡航、下降着陆。(Flight trajectory simulation is carried out according to each flight phase, including take-off, cruise, descent and landing.)
说明: 利用SVM对仿真的飞行数据进行训练和预测。(SVM is used to train and predict the simulated flight data)
说明: 在线序列ELM (Online Sequential ELM,OS-ELM)是可以使用实时数据进行学习并更新输出权重的ELM算法。(Online sequential elm (OS-ELM) is an elm algorithm that can use real-time data to learn and update output weights.)
说明: 极限学习机(Extreme Learning Machine, ELM)或“超限学习机”是一类基于前馈神经网络(Feedforward Neuron Network, FNN)构建的机器学习系统或方法,适用于监督学习和非监督学习问题。(Extreme learning machine (ELM) or "Transfinite learning machine" is a kind of machine learning system or method based on feedforward neural network (FNN), which is suitable for supervised learning and unsupervised learning.)
基于太阳辐射、气温、水汽压等气象变量的彭曼公式计算蒸散发(calculation of evapotranspiration based on Penman equation)
基于太阳辐射、气温、水汽压等气象变量的彭曼公式计算蒸散发(calculation of evapotranspiration based on Penman equation)
说明: 可用于最小二乘支持向量回归相关问题,非线性拟合及预测(It can be used in least squares support vector regression, nonlinear fitting and prediction)
说明: RTm叠前逆时偏移代码和论文 包括代码和论文(RTM prestack reverse time migration code and paper including code and paper)
GA_BPNN,里面有详细的代码和注释,能够很快入手,值得推荐!(LG_BPNN use and annotations, with detailed code and comments study quickly it is recommended!)
说明: 利用量子粒子群优化svm参数得到高精度svm模型(Using quantum particle swarm optimization (QPSO) to optimize SVM parameters, a high-precision SVM model is obtained)