Re: Perceptron Learning Algorithm
I chose to correct the weights at the first misfit, increase the count of iterations and start the algorithm again from the first point... it works fast so far... but I'm wondering if I should continue with the algorithm without restarting again and stopping only when all points satisfy h(x)=g(x)...
