Perceptron learning algorithm:

http://natureofcode.com/book/chapter-10-neural-networks/
http://computing.dcu.ie/~humphrys/Notes/Neural/single.neural.html
https://en.wikipedia.org/wiki/Perceptron

Convergence proof for the perceptron learning algorithm:

http://www.cs.columbia.edu/~mcollins/courses/6998-2012/notes/perc.converge.pdf

This gives intution on the learning rule, and specifically why you multiple the delta by the input when adjusting weights:

http://hagan.okstate.edu/4_Perceptron.pdf

Perceptron learning algorithm:

http://natureofcode.com/book/chapter-10-neural-networks/
http://computing.dcu.ie/~humphrys/Notes/Neural/single.neural.html
https://en.wikipedia.org/wiki/Perceptron

Convergence proof for the perceptron learning algorithm:

http://www.cs.columbia.edu/~mcollins/courses/6998-2012/notes/perc.converge.pdf

This gives intution on the learning rule, and specifically why you multiple the delta by the input when adjusting weights:

http://hagan.okstate.edu/4_Perceptron.pdf

Book by Martin Hagan:

http://hagan.okstate.edu/nnd.html

Add link to book by Martin Hagan
Add link to book by Martin Hagan
