Actually, I have developed a library that works with multithreading. I posted here the basics to show in the most simplistic way the algorithm. I hope I can post it here soon. Wizard101 Cheat Engine there. But basically if you want to do it multithreading this is the way to do it: Take the layer in process and assign a group of neurons of the same layer to each thread: For example if you have 30 neurons and you are using 4 threads for processing: then you would assign 7 neurons per thread, and reassign to the first ending thread the two lasting neurons.
And leave waiting all threads that ended their process until the last finish. Once you have processed the current layer you move to the next one: Update the next layer inputs and make the same process as with the last layer: Assign neurons to process to each thread..until you reach the output layer. This actually takes all the power of your CPU and increases speed. Thank you for the information sir, i have a question. Flashpoint Emperor Aquaman here.
Implementation of back-propagation neural networks with MatLab Jamshid Nazari Purdue University School of Electrical Engineering. Mbackprop Program. Backpropagation is a method used in artificial neural networks to. Propagation of the output activations back through the network using the training.
I want to put more Network inputs and Network outputs(like 5 or 10 more) #define NETWORK_INPUTNEURONS 10 #define NETWORK_OUTPUT 10 but i dont know how can i display the result of the ouputs when they are more than 1 //display result cout. Sir basically I am control engineer. I want to develop expertise in the area of neurofuzzy control. I have background in fuzzy however i am new to neural networks. I just learned gradient descent rule and how it can adjust weights to reach the minima and a bit of back propagation algorithm. But the problem is that I read lot of stuff, all of them are trying to use mathematical language.I appreciate their effort but now I want to program for example a neural network which I can train with gradient descent for any thing let say to find the coefficients of a reference linear function.Please recommend me some book which can take me step wise by giving me the basic understanding of different networks, implementation in matlab and applications and so on and so forth.
