1.批量最小二乘法算法（也称最小二乘的一次性完成辨识算法）
2.递推最小二乘法算法，应用递推算法对参数估计值进行不断修正,以取得更为准确的参数估计值。
3.粒子群算法(PSO)。粒子群优化算法的基本思想：是通过群体中个体之间的协作和信息共享来寻找最优解．PSO的优点在于简单容易实现并且没有许多参数的调节。
4.BP神经网络，各个神经元仅接收来自前一级的输出，经神经元处理后的信息将输出至下一级，网络中没有反馈，即前一级神经元不会接受后一级神经元的输出。
water tank是原始数据（双容水箱实验）(1. Batch least squares algorithm (also known as least squares one-time completion identification algorithm)
2. Recursive least squares algorithm, applying the recursive algorithm to continuously modify the parameter estimates to obtain more accurate parameter estimates.
3. Particle Swarm Optimization (PSO). The basic idea of particle swarm optimization algorithm is to find the optimal solution through the cooperation and information sharing between individuals in the group. The advantage of PSO is that it is simple and easy to implement and does not have many parameters to adjust.
4.BP neural network, each neuron only receives the output from the previous level, and the information processed by the neuron will be output to the next level. There is no feedback in the network, that is, the neurons in the previous level will not receive the neurons in the next level Meta's output.
water tank is the original data (double capacity water tank experiment))