lincang_fog

G代码现场使用实例矩形路线封闭路线测试Gcode(G codeG codeG codeG codeG codeG code)

采用L-M优化算法用以训练BP神经网络，使其能够拟合某一附加有白噪声的正弦样本数据。设计一个三层BP神经网络，其网络的隐含层神经元的激励函数为双曲正切型，输出层各神经元的激励函数为线性函数，隐含层有6个神经元(LM optimization algorithm used to train BP neural network to enable it to fit a white noise, sine additional sample data. Design a three BP neural network, its network of hidden layer neuron activation function of hyperbolic tangent type for the output layer activation function of each neuron is a linear function of the hidden layer has 6 neurons)

matlab code to implement fuzzy logic

matlab based description

语音信号处理中，利用winner滤波器去除干扰噪声，达到语音增强的效果(Speech signal processing, and use filters to remove interference noise winner, to the effect of speech enhancement)

对m序列的原理、结构、性质进行了分析,在Matlab中采用编程和Simulink动态仿真功能2 种方式实现了m序列.仿真实验表明,这2种方法简单,易于实现,可移植性较强,具有可行性和 设计的合理性. (The principle of the m sequence, structure and properties were analyzed in Matlab, Simulink using dynamic programming and simulation capabilities are 2 ways to achieve the m sequence. Simulation results show that these 2 simple and easy to implement, portability strong the feasibility and rationality of the design.)

基于MATLAB系统simulink中的交叉耦合控制算法的仿真与应用。(The cross coupling control system based on MATLAB simulink simulation and application of the algorithm.)

Combined flood and wind damage scales

a research based study on various image noise filters and denoise techniques

PANFIS - parsimonious network based on fuzzy inference system