Warning using " anfis " function in training of my data

I want to train an ANFIS structure. I have 8 inputs and one corrosponding output. When I train these data with "anfis" function, I will get the following error :

Warning: Generated rule base is large. MATLAB may run out of memory if this FIS is tuned using ANFIS. 
> In genfis1 (line 161)
In genfis (line 61)
In ANFIS (line 39) 

ANFIS info:
	Number of nodes: 555
	Number of linear parameters: 2304
	Number of nonlinear parameters: 48
	Total number of parameters: 2352
	Number of training data pairs: 501
	Number of checking data pairs: 0
	Number of fuzzy rules: 256

Warning: Number of training data is smaller than number of modifiable parameters. 
> In anfis>trainFIS (line 190)
In anfis>anfisWithOptionalInputs (line 326)
In anfis (line 69)
In ANFIS (line 40) 

Start training ANFIS ...
    

And the result will go to infinity. Note that I do not want to scale my data and I need the corrosponding output which is a vector, the values of which should be between zero and one. What should I do to solve this problem ?

the following is my ANFIS code :

clc;clear;close all;

%% 1. Load Data

Data = load('data_0_to_50_smooth');
t = Data.t;
u1 = Data.u1;    % Vaccination
u2 = Data.u2;    % Social Distancing
u3 = Data.u3;    % TreatMent Rate

states = Data.y;
states = states';

data1 = [states u1];
data2 = [states u2];
data3 = [states u3];

%% 2. Create First FiS

NumMfs = 2;
InMfsType ='trimf'; 
OutMfsType = 'linear';

Xin1 = data1(:,1:end-1);
Xout1 = data1(:,end);
radii = 0.2;

EpochNumber = 100;
ErrorGoal = 0.001;
StepSize =0.35; 
StepSizeDecreaseRate =0.85;
StepSizeIncreaseRate = 1.15;

TrainOptions = [EpochNumber,ErrorGoal,...
    StepSize,StepSizeDecreaseRate,...
    StepSizeIncreaseRate];

% Fis1 = genfis1(data1,NumMfs,InMfsType,OutMfsType);
Fis1 = genfis(data1(:,1:end-1),data1(:,end));
Fis1 = anfis(data1,Fis1);

out1 = evalfis(Fis1,data(:,1:end-1),TrainOptions);

The data I used for this problem is attached.

[Yundi Huang]

hi! I met the same question, have you solve the problem yet?