RK_Lorenz_5.m

The time series of the system is calculated with RK4 and the corresponding derivative sequence is calculated using the five-point differential formula

net_RK4_Lorenz.m

Think of the trained network as a new function network, calculate its time series with RK4, and calculate the corresponding derivative sequence using the five-point differential formula

get_data_lorenz.m

Obtain time series and derivative sequences with random starting points under different parameters and store them (obtain datasets) data_rbf_lorenz.m Train the network

net_PSO.m

Use the PSO algorithm to find the zero point of the function

get_Jacobi.m

Calculate the approximate Jacobi matrix

bifurcation.m

Obtains the bifurcation plot of equations and networks and determines the stability, and outputs the size of the RBF network

RK4_chen_5.m

The time series of the system is calculated with RK4 and the corresponding derivative series is calculated using the five-point differential formula

get_data_chen.m

Obtain time series and derivative sequences with random starting points under different parameters and store them (obtain datasets)

rbf_chen.m

Train the network

net_PSO

Use the PSO algorithm to find the zero point of the function

get_Jacobi.m

Calculate the approximate Jacobi matrix

bifurcation.m

Get the bifurcation plot of equations and networks and determine the stability

ZP.mat

all the zero-points of the networks

forFilterECG.m

Butterworth window filtering

data_recombination.m

Train the network by preprocessing and merging the data

ECG_PSO

Use the PSO algorithm to find the zero point of the function

RK4_net.m

Think of the trained network as a new function network, and use RK4 to calculate its time series

getPointSide.m

Check the position relationship of the point to the plane

finfbestplane.m

Look for the best plane dividing the two clusters of points and plots