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Search found 11 results on 1 pages for 'perceptron'.

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• What is the 'order' of a perceptron

  - by Martin

  A few simple marks for those who know the answer. I'm doing revision for exams at the moment and one of the past questions is: What is meant by the order of a perceptron? I can't find any information about this in my lecture notes, and even google seems at a loss. My guess is that the order is the number of layers in a neural network, but…

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• Parameter Tuning for Perceptron Learning Algorithm

  - by Albert Diego

  Hi, I'm having sort of an issue trying to figure out how to tune the parameters for my perceptron algorithm so that it performs relatively well on unseen data. I've implemented a verified working perceptron algorithm and I'd like to figure out a method by which I can tune the numbers of iterations and the learning rate of the perceptron.…

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• Perceptron Classification and Model Training

  - by jake pinedo

  I'm having an issue with understanding how the Perceptron algorithm works and implementing it. cLabel = 0 #class label: corresponds directly with featureVectors and tweets for m in range(miters): for point in featureVectors: margin = answers[cLabel] * self.dot_product(point, w) if margin…

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• Understanding a multilayer perceptron network

  - by Jonas Nielsen

  Hi all, I'm trying to understand how to train a multilayer, however, I'm having some trouble figuring out on choosing the amount of neurons in my network. For a specific task, I have four input sources that can each input one of three states. I guess that would mean four input neurons firing either 0, 1 or 2, but as far as I'm told, input…

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• R single layer perceptron with nnet

  - by Amie D'Angelo

  I'm trying to create a single layer perceptron. If I use the nnet function to create a n-0-1 network (n being the number of inputs), is that equivalent to a perceptron?

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• Neural Network Always Produces Same/Similar Outputs for Any Input

  - by l33tnerd

  I have a problem where I am trying to create a neural network for Tic-Tac-Toe. However, for some reason, training the neural network causes it to produce nearly the same output for any given input. I did take a look at Artificial neural networks benchmark, but my network implementation is built for neurons with the same activation function…

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• How to determine the source of a request in a distributed service system?

  - by Kabumbus

  Map/Reduce is a great concept for sorting large quantities of data at once. What to do if you have small parts of data and you need to reduce it all the time? Simple example - choosing a service for request. Imagine we have 10 services. Each provides services host with sets of request headers and post/get arguments. Each service declares…

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• mixture of expert

  - by Hamid

  Hi everybody, I'm looking for mixture of MLP(Multilayer Perceptron) expert matlab's code.could you please help me how i can find it? Thanks

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• Decision region plot for neural network in matlab

  - by Taban

  I have a neural network trained with backpropagation algorithm. I also create data set (input and target) random. Now I want to plot a decision region where each region is marked with a red star or with a blue circle according to whether it belongs to class 1 or -1. I searched a lot but just find plotpc function that is for perceptron…

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• How to convert the output of an artificial neural network into probabilities?

  - by Mathieu Pagé

  I've read about neural network a little while ago and I understand how an ANN (especially a multilayer perceptron that learns via backpropagation) can learn to classify an event as true or false. I think there are two ways : 1) You get one output neuron. It it's value is 0.5 the events is likely true, if it's value is <=0.5 the…

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• C# Neural Networks with Encog

  - by JoshReuben

  Neural Networks ·       I recently read a book Introduction to Neural Networks for C# , by Jeff Heaton. http://www.amazon.com/Introduction-Neural-Networks-C-2nd/dp/1604390093/ref=sr_1_2?ie=UTF8&s=books&qid=1296821004&sr=8-2-spell. Not the 1st ANN book I've perused, but a nice revision.  …

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