There is a deep desire in men, in order to reproduce intelligence and place it in a machine. Neural Networks are an attempt to reproduce the synaptic connections of our brain in a computer. Duplicating the way we use our neurons to think in a machine, it is expected to have a device that could be able to do intelligent tasks, the ones reserved just to humans some time ago. Neural Network is a reality now, not a fantasy, and they have been made in order to recognize patterns (a face, a photograph or a song, are patterns) and forecast trends. I have seen many books about this subject in my life. All of them are hard to read, and tedious to learn, so I decided to make my own one.

For beginner readers, I have tried to use a simple language, in order to be understood by anyone who wants to know about nets. An easy to read, practical and concise work. If you are interested in the brain functions and how can we simulate it in a computer, youll get here a differenty to penetrate into their secrets. For advanced readers who want to make their own nets, I have included a methodology for building neural networks and complete sample computer source-code with tricks that will save you a lot of time while designing it.

The new frontier: Internet.

This is one of the limits to the community of Neural Networks today.

Most of the work related to Neural Networks pays little attention to the use of Internet technology. As a matter of fact, the author thinks that some element was needed as a kind of vehicle to bridge these two worlds. This is the reason why "Web-Based Neural Networks" came to light.

There is a general preconception that Neural Networks, as a field of study, must be difficult to master. Any attempt to simplify the learning process in this field is generally met with sharp criticism. This may reflect a feeling that ordinary people should not understand some subjects.

To counteract these preconceptions and facilitate understanding, "Web-Based Neural Networks" is presented in a simple and straightforward manner. It is designed for students, first-level programmers, and others who are interested in Neural Networks and how they can be used in conjunction with the Internet.