Artificial Organic Networksartificial Intelligence Based On Carbon Networks 1st Edition Hiram Ponceespinosa by Hiram Ponce-espinosa, Pedro Ponce-cruz, Arturo Molina 9783319024714, 9783319024721, 331902471X, 3319024728 instant download after payment.

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.