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  • 大小: 4.02MB
    文件類型: .zip
    金幣: 2
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    發布日期: 2023-08-10
  • 語言: Matlab
  • 標簽: 神經網絡??Matlab??

資源簡介

網絡上的神經網絡對汽油辛烷值進行預測,個人進行了總結與修改并在Matlab上測試,通過訓練spectra_data數據,然后測試,生成實際值與預測值對比,精確度較高,代碼簡單,適合初學者學習。

資源截圖

代碼片段和文件信息

%%?I.?清空環境變量
clear?all
clc
%%?II.?訓練集/測試集產生
%%
%?1.?導入數據
load?spectra_data.mat
?
%%
%?2.?隨機產生訓練集和測試集
temp?=?randperm(size(NIR1));
%?訓練集――50個樣本
P_train?=?NIR(temp(1:50):)‘;
T_train?=?octane(temp(1:50):)‘;
%?測試集――10個樣本
P_test?=?NIR(temp(51:end):)‘;
T_test?=?octane(temp(51:end):)‘;
N?=?size(P_test2);
?
%%?III.?數據歸一化
[p_train?ps_input]?=?mapminmax(P_train01);
p_test?=?mapminmax(‘apply‘P_testps_input);
[t_train?ps_output]?=?mapminmax(T_train01);
%%?IV.?BP神經網絡創建、訓練及仿真測試
%%
%?1.?創建網絡
net?=?newff(p_traint_train9);
?
%%
%?2.?設置訓練參數
net.trainParam.epochs?=?1000;
net.trainParam.goal?=?1e-3;
net.trainParam.lr?=?0.01;
?
%%
%?3.?訓練網絡
net?=?train(netp_traint_train);
?
%%
%?4.?仿真測試
t_sim?=?sim(netp_test);
?
%%
%?5.?數據反歸一化
T_sim?=?mapminmax(‘reverse‘t_simps_output);
?
%%?V.?性能評價
%%
%?1.?相對誤差error
error?=?abs(T_sim?-?T_test)./T_test;
?
%%
%?2.?決定系數R^2
R2?=?(N?*?sum(T_sim?.*?T_test)?-?sum(T_sim)?*?sum(T_test))^2?/?((N?*?sum((T_sim).^2)?-?(sum(T_sim))^2)?*?(N?*?sum((T_test).^2)?-?(sum(T_test))^2));?
?
%%
%?3.?結果對比
result?=?[T_test‘?T_sim‘?error‘]
%%?VI.?繪圖
figure
plot(1:NT_test‘b:*‘1:NT_sim‘r-o‘)
legend(‘真實值‘‘預測值‘)
xlabel(‘預測樣本‘)
ylabel(‘辛烷值‘)
string?=?{‘測試集辛烷值含量預測結果對比‘;[‘R^2=‘?num2str(R2)]};
title(string)

?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????目錄???????????0??2018-10-16?15:40??Prediction?of?gasoline?octane?number\
?????文件????????1432??2018-10-16?14:48??Prediction?of?gasoline?octane?number\ELM.m
?????文件????????3139??2018-10-16?15:01??Prediction?of?gasoline?octane?number\main_2009a.m
?????文件????????3128??2018-10-16?15:01??Prediction?of?gasoline?octane?number\main_2014a.m
?????文件??????171497??2010-10-14?20:24??Prediction?of?gasoline?octane?number\spectra_data.mat
?????文件????????2900??2018-10-16?15:06??Prediction?of?gasoline?octane?number\對汽油辛烷值含量做預測.txt
?????目錄???????????0??2018-10-16?15:59??Prediction?of?gasoline?octane?number\測試\
?????文件?????????362??2018-10-16?15:22??Prediction?of?gasoline?octane?number\測試\result0.txt
?????文件???????54270??2018-10-16?15:21??Prediction?of?gasoline?octane?number\測試\result0汽油辛烷值含量做預測.png
?????文件???????44879??2018-10-16?15:52??Prediction?of?gasoline?octane?number\測試\result1.png
?????文件?????????330??2018-10-16?15:52??Prediction?of?gasoline?octane?number\測試\result1.txt
?????文件???????52817??2018-10-16?15:53??Prediction?of?gasoline?octane?number\測試\result2.png
?????文件?????????330??2018-10-16?15:54??Prediction?of?gasoline?octane?number\測試\result2.txt
?????文件???????26252??2018-10-16?15:55??Prediction?of?gasoline?octane?number\測試\result3.png
?????文件?????????330??2018-10-16?15:55??Prediction?of?gasoline?octane?number\測試\result3.txt
?????文件???????29152??2018-10-16?15:56??Prediction?of?gasoline?octane?number\測試\result4.png
?????文件?????????330??2018-10-16?15:56??Prediction?of?gasoline?octane?number\測試\result4.txt
?????文件???????30145??2018-10-16?15:57??Prediction?of?gasoline?octane?number\測試\result5.png
?????文件?????????332??2018-10-16?15:57??Prediction?of?gasoline?octane?number\測試\result5.txt
?????文件???????25289??2018-10-16?15:58??Prediction?of?gasoline?octane?number\測試\result6.png
?????文件?????????330??2018-10-16?15:58??Prediction?of?gasoline?octane?number\測試\result6.txt
?????文件?????4577709??2018-10-16?15:16??Prediction?of?gasoline?octane?number\測試\Video_2018-10-16_151626.wmv

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