資源簡介
自己寫的利用RBF神經網絡做的短期交通流預測matlab源碼
代碼片段和文件信息
function?RBFnet()
[data?LorryCount?CarCount]=Readxls();%實測數據Readxls?0-訓練?1-測試
n=100;
time=3:92;
%網絡訓練測試數據?80個訓練數據,20個測試數據
Lorry_train_in=[LorryCount(11:80)];
Lorry_train_out=[LorryCount(12:81)];
Car_train_in=[CarCount(11:80)];
Car_train_out=[CarCount(12:81)];
%測試數據
Lorry_test=[LorryCount(11:90)];
Car_test=[CarCount(11:90)];
%RBF神經網絡設計
net_Lorry=newrb(Lorry_train_inLorry_train_out);
Result_Lorry=sim(net_LorryLorry_test);
net_Car=newrb(Car_train_inCar_train_out);
Result_Car=sim(net_CarCar_test);
figure(1)
plot(timeLorryCount(12:91));
hold?on
plot(timeResult_Lorry‘r‘);
hold?off
title(‘貨車數據‘);
grid?on
figure(2)
plot(timeCarCount(12:91));
hold?on
plot(timeResult_Car‘r‘);
hold?off
title(‘汽車數據‘);??
grid?on
xlabel(‘時間(h)‘);
ylabel(‘車流量(輛/h)‘);
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????852??2011-11-29?01:09??RBFnet.m
?????文件????????454??2011-11-29?01:08??Readxls.m
-----------?---------??----------?-----??----
?????????????????1306????????????????????2
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