Understanding 99 Of Artificial Neural Networks


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Understanding Ninety-nine Percent of Artificial Neural Networks


Understanding Ninety-nine Percent of Artificial Neural Networks

Author: Marcello Bosque

language: en

Publisher: iUniverse

Release Date: 2002


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Understanding 99% of Artificial Neural Networks


Understanding 99% of Artificial Neural Networks

Author: Marcelo Bosque

language: en

Publisher: Writers Club Press

Release Date: 2002-03


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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 are 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, you'll get here a different way 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.

Artificial Intelligence Illuminated


Artificial Intelligence Illuminated

Author: Ben Coppin

language: en

Publisher: Jones & Bartlett Learning

Release Date: 2004


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Artificial Intelligence Illuminated presents an overview of the background and history of artificial intelligence, emphasizing its importance in today's society and potential for the future. The book covers a range of AI techniques, algorithms, and methodologies, including game playing, intelligent agents, machine learning, genetic algorithms, and Artificial Life. Material is presented in a lively and accessible manner and the author focuses on explaining how AI techniques relate to and are derived from natural systems, such as the human brain and evolution, and explaining how the artificial equivalents are used in the real world. Each chapter includes student exercises and review questions, and a detailed glossary at the end of the book defines important terms and concepts highlighted throughout the text.