(EBook - Mathematics) Development of Neural Network Theory f

(EBook - Mathematics) Development of Neural Network Theory...

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THE COOPER UNION ALBERT NERKEN SCHOOL OF ENGINEERING A N E XPLORATION AND D EVELOPMENT OF C URRENT A RTIFICIAL N EURAL N ETWORK T HEORY AND A PPLICATIONS WITH E MPHASIS ON A RTIFICIAL L IFE by David J. Cavuto A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering May 6, 1997 THE COOPER UNION FOR THE ADVANCEMENT OF SCIENCE AND ART
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THE COOPER UNION FOR THE ADVANCEMENT OF SCIENCE AND ART ALBERT NERKEN SCHOOL OF ENGINEERING This thesis was prepared under the direction of the Candidate’s Thesis Advisor and has received approval. It was submitted to the Dean of the School of Engineering and the full Faculty, and was approved as partial fulfillment of the requirements for the degree of Master of Engineering. _________________________________ Dean, School of Engineering - Date ______________________________ Prof. Simon Ben-Avi - Date Candidate’s Thesis Advisor
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i Acknowledgments I would like to take this opportunity to thank, first and foremost, my thesis advisor, Dr. Simon Ben-Avi . His advice, both as a professor and as a friend, were and always will be invaluable. Moreover, I would like to thank the entire EE department faculty and staff for all the support and encouragement (and toleration) they have shown me throughout the years. I am deeply indebted to my friend and Big Brother Yashodhan Chandrahas Risbud (Yash!). Without the occasional smack in the head he needed to give me, I might not have made it through at all. Thanks for putting up with me. Kappa Phi – Zeta Psi . My brothers supported me in the hard times and cheered me in the good times. Can anyone ask for more? Special thanks to The Leib , Seamous , and of course, my Muffin . My utmost appreciation and thanks to my parents, George and Doris Cavuto . What can I say? Thanks for everything. (Especially all that money!) And finally, a big old THANKS! to Peter Cooper for giving me a place to work, learn, and grow for the last six years. Anywhere else would have been just a school. The Cooper Union has been my home. – DJC Disclaimer: this thesis is entirely a product of my imagination. Any resemblance to actual work is purely coincidental.
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ii 1. Abstract The purpose of this study is to explore the possibilities offered by current Artificial Neural Net (ANN) structures and topologies and determine their strengths and weaknesses. The biological inspiration behind ANN structure is reviewed, and compared and contrasted with existing models. Traditional experiments are performed with these existing structures to verify theory and investigate more possibilities. This study is conducted to the end of examining the possibility of using ANNs to create “artificial life,” which is defined here as a structure or algorithm which displays characteristics typically only attributed to biological organisms, usually nonrepeating, nonrandom processes. Although some ANN topology is shown to be highly similar to that of biological systems, existing ANN algorithms are determined be insufficient to generate the desired type of behavior. A new ANN structure, termed a
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