Perceptron Learning rules (pocket algorithm with ratchet)

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Bids
8
Avg Bid (USD)
$91
Project Budget (USD)
$30 - $250

Project Description:
I need a small program for Perceptron Learning rules (pocket algorithm with ratchet)
#Saves the best weight vector
#If find better than replace the best
#Before replacing w with w1 new, test w old , a w1 new on every input pattern
#Apply the rachet pocket algorithm to linearly separate input patterns
#Can be done in C/C++/JAVA

Must Use follwing dataset

Data for Pocket Algorithm with ratchet

(0.05 ,0.5,0.82,0.15,0.75,0.3,0.65,0.35,0.95,0.45,0.12,
0.57,0.55,0.2,0.2,0.6,0.4,0.7,0.1,0.8,0.85,0.9,0.25,0.47,0.48,0.49,0.52,0.56)

#Programe should be able linealy separate all pattern classes

Additional Project Description:
12/09/2010 at 13:45 SGT
Data Set1(2 Dimensional)
Class1 (3,1)(4,2)
(5,3)(6,4)
(2,5)(2,5)

Class2 (2,2)(1,3)
(2,6)(2.6,2.6)

Dataset2
Class1 {0.05,0.1, 0.15, 0.2, 0.25,0.3, 0.35,0.4,0.45,0.49,0.52,0.56,0.57,0.82}

class2{0.12,0.47,0.48,0.5,0.55,0.6,0.65,0.7,0.85,0.90,0.95}

Skills required:
C Programming, C++ Programming, Java
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