资源列表
moshifenbie
- BP网络的模式分类，MATLAB实现，神经网络-BP network, pattern classification, MATLAB implementation, neural network
dianlixitongyubao
- 电力系统的预报，用MATLAB的BP网络实现-Power system forecasting, the BP networks using MATLAB
BP_boosting
- 函数逼近的MATLAB实现，调用BP网络-Function approximation of MATLAB, called BP network
ANNBP2hiddenlayers
- 双隐含层神经网络源代码，希望对大家有帮助-ANNBP2hiddenlayers double hidden layer neural network code
johnson
- 计算双机流程算法 johnson算法，计算最优化子计算-Dual flow calculation algorithm johnson algorithm to calculate the optimal sub-calculation
eight-digital-problem
- 实现人工智能中的经典问题，八数码问题，求最优解-To realize the classic of artificial intelligence, eight digital problem, resolve the most optimal solution
nnbp
- 能够进行简单的英文字母识别，运用BP神经网络-Simple letters to identify the use of BP neural network
6-23
- 飞思卡尔智能车参考程序，激光组参加省赛的-Freescale smart car reference procedure, the laser group participated in the provincial race
ble
- 解非线性等式约束优化问题的新锥模型信赖域算法-Nonlinear equality constrained optimization problems of the new cone model trust region algorithm
fuzzy-PID
- 模糊PID控制器具有控制任意非线性函数的能力，能实现对PID控制器的参数Kp, Ki, Kd的实时在线整定，使系统具有更好的鲁棒性和自适应性，其输出也可以通过在线调整达到预期的控制精度。-Fuzzy PID controller has the ability to control an arbitrary nonlinear function, can achieve the parameters of the PID controller Kp, Ki, Kd,
BP-PID
- 针对双容水箱大滞后系统，采用PID方法去控制。首先对PID控制中各参数的作用进行分析，采用根轨迹校正、伯德图校正的方法，对系统进行校正。最后采用神经网络PID控制的方法-Large time delay for two-capacity water tank system, using PID method to control. First, the parameters of the PID control in the role of analysis using root locus c
RBF
- 运用常规的PID控制算法很难达到人们所要求的控制效果。采用改进的BP神经网络算法进行改进具有以任意精度逼近非线性函数的能力，而且通过它的自身的学习，可以找到某一最优控制率下的PID控制器参数，使其具有更好的鲁棒性和自适应的能力。-Using conventional PID control algorithm is difficult to live up to the required control effect. The improved BP neural network algorit