目标是：将表中13个样本，属性为4的数据分为两类，用神经网络算法如何用MATLAB如何做，并计算准确率。目标表格如下：
样本数 分类结果
s1 1
s2 1
s3 1
s4 1
s5 1
s6 0
s7 1
s8 1
s9 0
s10 1
s11 0
s12 1
s13 0
训练样本数据如下：
v1 v2 v3 v4
s1 0.7511273 0.776725367 0.8003134 0.820134233
s2 0.714120133 0.742052267 0.7680412 0.790078867
s3 0.645714933 0.6715376 0.695278467 0.715087033
s4 0.7472154 0.778320767 0.807289833 0.832031567
s5 0.675175267 0.6936587 0.710464567 0.724201833
s6 0.6500577 0.6717081 0.6914599 0.707798567
s7 0.593231533 0.61752 0.639873433 0.658526333
s8 0.641064333 0.663005767 0.683036433 0.6995567
s9 0.567699267 0.5920724 0.614508133 0.6331918
s10 0.584882867 0.607799233 0.628835833 0.6462888
s11 0.623362867 0.651357567 0.677329233 0.699399733
s12 0.658756167 0.685911967 0.711035633 0.732209
s13 0.5843791 0.609845067 0.633467167 0.653468933
