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I have a different sets of vectors for an object. These vectors are different and are extracted from a particular shape. I want to train my Neural Network in matlab to recognize this particular shape. So that when I input another different vectors of similarity of that particular object, the neural network is able to differentiate and output either '1' or '0'
I am new to this neural network stuffs and I hope that someone could give me some valuable pointers.
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Pattern recognition is the process of classifying input data into objects, classes, or categories using computer algorithms based on key features or regularities.
Pattern recognition can be implemented by using a feed-forward (figure 1) neural network that has been trained accordingly. During training, the network is trained to associate outputs with input patterns. When the network is used, it identifies the input pattern and tries to output the associated output pattern.
With just a few lines of code, MATLAB lets you develop neural networks without being an expert. Get started quickly, create and visualize neural network models, integrate them into your existing applications, and deploy them to servers, enterprise systems, clusters, clouds, and embedded devices.
First of all have a look to this pdf explaining the Neural Network Toolbox.
Here you can download a tutorial on pattern recognition with neural networks with matlab.
I hope this helps on your task.
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To understand machine learning concepts in general and neural networks in particular, this resource will be usefull www.ml-class.org
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