%input=[density/7450, molecular weight/53.5, cis/50193, ln(cis/cil)/18.44), temperature/14.322)]
%cis=concnetratio of solute in solid phase 
%cis=concnetratio of solute in liquid phase 
input= [0.869261745	0.698791946	0.746308725	0.755033557	0.732885906	0.575838926	0.603758389	0.648322148	0.637583893	0.604026846	0.852348993	0.393288591	0.426845638	0.570469799	0.300536913	0.397315436	0.813691275	0.761073826	0.437449664	0.369127517	0.438926174	0.266979866	0.311409396	0.361073826	0.313825503	0.420134228	0.527516779	0.283221477;
0.35785061	0.449314024	0.273056402	0.632240854	0.594131098	0.375952744	0.482660061	0.566501524	0.534108232	0.444740854	0.733993902	0.190739329	0.148818598	0.381097561	0.141196646	0.25933689	0.548589939	0.697789634	0.318025915	0.226753049	0.318216463	0.14214939	0.233422256	0.560594512	0.25933689	0.316310976	0.40777439	0.192644817;
0.687008149	0.439862132	0.773016158	0.337756261	0.348873349	0.433207818	0.353794354	0.323670631	0.337616799	0.384117307	0.328432252	0.583168968	0.811208734	0.423365808	0.601996294	0.433307433	0.419500727	0.308469308	0.389038312	0.460402845	0.390114159	0.531189608	0.377323531	0.182156874	0.342258881	0.375649991	0.36586775	0.415795031;
0.834895806	0.436275637	0.804087166	0.665442385	0.360026066	0.666450981	0.75552991	0.613164074	0.575497721	0.79602132	0.726396012	0.647607384	0.650520194	0.615255999	0.410831542	0.398003492	0.744642043	0.113608638	0.312243332	0.087877958	0.211251872	0.103125343	0.189465945	0.169953001	0.127987484	0.061861777	0.211517827	0.10982281;
0.628728116	0.729310315	0.604605972	0.796490689	0.788533483	0.732908621	0.784685174	0.807803987	0.796538401	0.763474626	0.80391217	0.664203553	0.594977502	0.739855981	0.65721129	0.733171844	0.740794653	0.818797448	0.76047177	0.718372654	0.75926349	0.68603956	0.766504587	0.980703085	0.794517962	0.77274118	0.775071915	0.741903363]
target=[0.25	0.211538462	0.353846154	0.411538462	0.369230769	0.442307692	0.461538462	0.396153846	0.338461538	0.519230769	0.446153846	0.292307692	0.576923077	0.453846154	0.253846154	0.292307692	0.580769231	0.073076923	0.434615385	0.057692308	0.169230769	0.084615385	0.188461538	0.126923077	0.061538462	0.065384615	0.169230769	0.111538462]
net.trainParam.show = inf;
net=newff( minmax(input),[20,1], {'tansig','purelin'},'trainbr');
net=train(net,input,target)
output = sim(net, input)
[target,output]
plot(target, 'o')
hold on
plot(output, '+r')
[output]'
validationset1=[0.357315436	0.419731544	0.316778523	0.419463087	0.29033557	0.359597315	0.304295302	0.321610738	0.205369128	0.289261745	0.242013423	0.337449664	0.223624161	0.55033557	0.175167785	0.88590604	0.708724832	0.805369128	0.568456376	0.855033557	0.832214765	0.50147651	0.625503356	0.532885906	0.830067114	1	0.939597315	0.932348993	0.917986577	0.665503356;
0.331935976	0.11871189	0.111089939	0.218940549	0.111280488	0.358422256	0.301257622	0.186737805	0.101943598	0.480373476	0.219131098	0.276105183	0.152439024	0.17663872	0.145007622	0.509146341	0.5625	0.615853659	0.631097561	0.667301829	0.577934451	0.28125	0.47179878	0.35003811	0.639291159	0.541730183	0.456935976	1	0.722751524	0.5;
0.304285458	1	0.80648696	0.541868388	0.737911661	0.283744745	0.285677286	0.487099795	0.569760724	0.170302632	0.312354312	0.34566573	0.414898492	0.88117865	0.341641265	0.492120415	0.35634451	0.36985237	0.272806965	0.362401132	0.407267946	0.504293427	0.374972606	0.430558046	0.367222521	0.522084753	0.58157512	0.26370211	0.359233359	0.376446915;
0.174052993	0.574416566	0.654049963	0.584938428	0.104718548	0.326304404	0.050760417	0.067210062	0.089445888	0.10761726	0.005656694	0.048609855	0.036035366	0.882263424	0.032991468	0.846979495	0.814441825	1	0.119432544	0.566849799	0.648116902	0.6909238	0.58118854	0.588684503	0.456453233	0.514388407	0.418957821	0.652314956	0.497778236	0.401618877;
0.824930585	0.554653823	0.595933099	0.68044034	0.613310045	0.843781084	0.842579981	0.706847729	0.668394754	1	0.838200397	0.793268013	0.742931135	0.578644899	0.788383221	0.702635839	0.782676904	0.772835365	0.857959739	0.777716567	0.748339964	0.697089388	0.769625966	0.734770591	0.774213108	0.68865452	0.664813804	0.865273106	0.780597001	0.767746381]
%validationset1=[0.357315436	0.419731544	0.316778523	0.419463087	0.29033557	0.359597315	0.304295302	0.321610738	0.205369128	0.289261745	0.242013423	0.337449664	0.223624161	0.55033557	0.175167785	0.88590604	0.708724832	0.805369128	0.568456376	0.855033557	0.832214765	0.50147651	0.625503356	0.532885906	0.830067114	1	0.939597315	0.932348993	0.917986577	0.665503356; 
%0.331935976	0.11871189	0.111089939	0.218940549	0.111280488	0.358422256	0.301257622	0.186737805	0.101943598	0.480373476	0.219131098	0.276105183	0.152439024	0.17663872	0.145007622	0.509146341	0.5625	0.615853659	0.631097561	0.667301829	0.577934451	0.28125	0.47179878	0.35003811	0.639291159	0.541730183	0.456935976	1	0.722751524	0.5;
%0.304285458	1	0.80648696	0.541868388	0.737911661	0.283744745	0.285677286	0.487099795	0.569760724	0.170302632	0.312354312	0.34566573	0.414898492	0.88117865	0.341641265	0.492120415	0.35634451	0.36985237	0.272806965	0.362401132	0.407267946	0.504293427	0.374972606	0.430558046	0.367222521	0.522084753	0.58157512	0.26370211	0.359233359	0.376446915; 
%0.174052993	0.574416566	0.654049963	0.584938428	0.104718548	0.326304404	0.050760417	0.067210062	0.089445888	0.10761726	0.005656694	0.048609855	0.036035366	0.882263424	0.032991468	0.846979495	0.814441825	1	0.119432544	0.566849799	0.648116902	0.6909238	0.58118854	0.588684503	0.456453233	0.514388407	0.418957821	0.652314956	0.497778236	0.401618877]
y=sim(net,validationset1);
y'