This book was written for undergraduate and graduate students as well as
researchers and scientists interested in artificial intelligence techniques. In fact, the
intention of this book is to introduce and fully describe the artificial organic
networks technique, a novel machine learning method inspired on chemical carbon
networks. In addition, an organic network-based algorithm named artificial
hydrocarbon networks is presented to show the advantages and the scope of the
technique.
On one hand, the book is complemented with several examples through
chapters and the description of real-world applications using artificial hydrocarbon
networks. On the other hand, the text is accompanied with an artificial organic
networks toolkit implemented on LabVIEWTM allowing a hands-on experience to
readers.
The organization of the book is as follows: Chapter 1 introduces an overview of
machine learning and the modeling problem while Chap. 2 describes key concepts
of organic chemistry in order to understand the technique, Chaps. 3 and 4 describe
the artificial organic networks technique and the artificial hydrocarbon networks
algorithm. Then, Chap. 5 offers some improvements to the basic artificial hydrocarbon
networks algorithm. Finally, Chaps. 6 and 7 provide experimental results
and discuss how to implement the algorithm in real-world applications like audio
filtering, control systems and facial recognition.
Finally, we would like to express our gratitude to all those who provided
support and reviewed details over and over, those who read and offered comments
allowed us to quote their remarks, and those who assisted us in the editing,
proofreading and designing stages. A special acknowledgement to the Tecnologico
de Monterrey.
