实验三感知准则函数分类器

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1、实验三感知准则函数分类器进一步了解分类器的设计概念，理解并掌握感知准则函数分类器的原理及方法，并用于实际的数据分类。1实验原理利用梯度下降法求解感知准则函数的解叫景。构造准则函数<>(«)=yeYk式中KA是错分样本集合。解向垃求解的迭代形式p(o),初始值[(々+1)=“(々)+y2实验内容已知有两类数据叫和仍2,叫中数据点的坐标对应一一如下：数据：x=0.23311.52070.64990.77571.05241.19740.29080.25180.66820.56220.90230.1333-0.54310.9407-0.

2、21260.0507-0.08100.73150.33451.0650-0.02470.10430.31220.66550.58381.16531.26530.8137-0.33990.51520.7226-0.20150.4070-0.1717-1.0573-0.2099j’l=2.33852.19461.67301.63651.78442.01552.06812.12132.47971.51181.96921.83401.87042.29481.77142.39391.56481.93292.20272.45681.75231

3、.69912.4883L72592.04662.02262.37571.79872.08282.07981.94492.38012.23732.16141.92352.2604zl=0.53380.85141.08310.41641.11760.55360.60710.44390.49280.59011.09271.07561.00720.42720.43530.98690.48411.09921.02990.71271.01240.45760.85441.12750.77050.41291.00850.76760.84180.8

4、7840.97510.78400.41581.03150.75330.95480),数据点的对应的三维坐标为^9x21.40101.23012.08141.16551.37401.18291.76321.97392.41522.58902.84721.95391.25001.28641.26142.00712.18311.79091.33221.14661.70871.59202.93531.46642.93131.83491.83402.50962.71982.31482.03532.60301.23272.14651.5673

5、2.94141.02980.96110.91541.49010.82000.93991.14051.06780.80501.28891.46011.43340.70911.29421.37440.93871.22661.18330.87980.55920.51500.99830.91200.71261.28331.10291.26800.71401.24461.33921.18080.55031.47081.14350.76791.1288z20.62101.36560.54980.67080.89321.43420.95080.

6、73240.57841.49431.09150.76441.21591.30491.14080.93980.61970.66031.39281.40840.69090.84000.53811.37290.77310.73191.34390.81420.95860.73790.75480.73930.67390.86511.36991.14583实验要求1)求出解向量，验证川其能否将原始样本进行类别区分。2)根据上述的结果并判断(1,1.5,0.6)(1.2,1.0,0.55)，(2.0,0.9,0.68)，(1.2,1.5，0.8

7、9),(0.23,2.33,1.43),属于哪个类别。3)图示分类结果。4实验结果Matlab程序：%Time:2OI5-6-16%Editor:lgg%Function感知准则函数分类器%wl数据点的坐标xl=[0.23311.52070.64990.77571.05241.19740.29080.25180.66820.56220.90230.1333•0.54310.9407-0.21260.0507-0.08100.73150.33451.0650-0.02470.10430.31220.66550.58381.16531

8、.26530.8137-0.33990.51520.7226-0.20150.4070-0.1717-1.0573-0.2099];yl==[2.33852.19461.67301.63651.78442.01552.06812.12132.479