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Thursday,March 20 ,2008

The artificial neural network (ANN) is one of the most revolutionary technologies of our time, however, and despite all the theory and knowledge about them, the thing which leaves us more happy is to see a project that really uses neural networks.

This blog contains chronologies of my projects that I have done and am doing concerning neural networks as well as other topics related to artificial intelligence.

To understand all terms used in this publication is necessary to understand the basic concepts of artificial intelligence and neural networks, as well as the knowledge of some training models.

Introduction to Neural Networks

Introduction to Artificial Intelligence

There are hundreds of commercial software packages that use neural networks as a core of the application, as I researched neural network software is quite expensive, but show that they work. The neural networks are quite simple actually, it is a sum where the inputs are multiplied by the factor of training called "weight", the difficult part is the training because it uses intricate algorithms with an activation function. Anyone with the necessary knowledge can create their own neuronal function in a computer programming language for linear microprocessors whether I prefer the C + + language, but anyone can serve. It is also possible to implement a neural network into hardware, either dedicated hardware or an improvisation of electronic circuits.

But for all application the neural network must be trained specially when using supervised learning, and the difficult part is when your neural network requires static data. For this, an universal neural network trainer is solution.



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