02-Apr-2019 20:12:58

perceptron
  MATLAB version
  The Perceptron.
  Data file: index, rpm, vibration, rating
  Rating is 0 for bad, 1 for good.
  Use the perceptron algorithm to determine a
  classifier f(rpm,vibration) -> {0, 1}

  Generator Ratings

  Number of generators = 56
  28 good generators, and 28 bad generators
  562 <= RPM <= 939
  79 <= VIB <= 585
  GOOD: mean RPM = 740.75, mean VIB = 447.286
  BAD:  mean RPM = 741.964, mean VIB = 219.857
  79 <= VIB <= 585
  Graphics saved as "perceptron_data.png"
  All training data classified on step 7

  Perceptron weights:
  f(x) = -0.540968 + 0.405272 * r + 0.736958 * v


  Index    x*w  (0<x*w)  Rating

      1    0.20      1      1
      2    0.19      1      1
      3    0.18      1      1
      4    0.12      1      1
      5    0.10      1      1
      6    0.21      1      1
      7    0.17      1      1
      8    0.14      1      1
      9    0.07      1      1
     10    0.07      1      1
     11    0.06      1      1
     12    0.13      1      1
     13    0.25      1      1
     14    0.23      1      1
     15    0.10      1      1
     16    0.12      1      1
     17    0.30      1      1
     18    0.20      1      1
     19    0.24      1      1
     20    0.29      1      1
     21    0.21      1      1
     22    0.28      1      1
     23    0.28      1      1
     24    0.21      1      1
     25    0.18      1      1
     26    0.24      1      1
     27    0.26      1      1
     28    0.22      1      1
     29   -0.21      0      0
     30   -0.13      0      0
     31   -0.10      0      0
     32   -0.09      0      0
     33   -0.21      0      0
     34   -0.21      0      0
     35   -0.11      0      0
     36   -0.21      0      0
     37   -0.08      0      0
     38   -0.22      0      0
     39   -0.06      0      0
     40   -0.12      0      0
     41   -0.20      0      0
     42   -0.09      0      0
     43   -0.01      0      0
     44   -0.29      0      0
     45   -0.02      0      0
     46   -0.05      0      0
     47   -0.22      0      0
     48   -0.23      0      0
     49   -0.21      0      0
     50   -0.16      0      0
     51   -0.13      0      0
     52   -0.10      0      0
     53   -0.17      0      0
     54   -0.08      0      0
     55   -0.17      0      0
     56   -0.11      0      0
  Graphics saved as "perceptron_classifier.png"

perceptron
  Normal end of execution.

02-Apr-2019 20:12:59