I\'ve to create a neural network for classifying 20 objects. My input matrix is 100 by 400, and target is 1 by 400. Each 20 columns of input input matrix belong to same class, like this:
I have a Neural Network that I\'ve save to a .mat file in Matlab 2007. I\'m trying to load the neural network from the file with load filename.mat.
I want to know whether Artificial Neural Networks can be applied to discrete values inputs? I know they can be applied to continuous valued inputs, but can they be applied to discrete valued ones? Als
Is there any possible way in windows to \"drop\" packets like a true IPS(intrusion prevention system) similar to iptables in unix.
I am new to Artificial Neural Networks. I am interested in an application like this: I have a significantly large set of objects. Each object has six properties, denoted by P1–P6.Each proper
Can anyone give me an example of a Bayesian开发者_如何学运维 network and fuzzy logic being used in intrusion detection?
I\'m writing an Elman Simple Recurrent Network. I want to give it sequences of words, where each word is a sequence of phonemes, and I want a lot of training and test data.
I just finished writing some code that runs a hebbian learning feedforward neural network. I\'ve done a backpropaga开发者_运维问答tion neural network before and the first thing I did to make sure it w
I am doing remote sensing image classification. I am using the object-oriented method: first I segmented the image to different regions, then I extract t开发者_运维问答he features from regions such as
I just started playing around with neural networks and, as I would expect, in order to train a neural network effectively there must be some relation between the开发者_开发知识库 function to approxima