Alan Turing was one of the most influential thinkers of the 20th century. In , aged 22, he developed the mathematical theory upon which all subsequent stored-program digital computers are modeled.
At the outbreak of hostilities with Germany in September , he joined the Goverment Codebreaking team at Bletchley Park, Buckinghamshire and played a crucial role in deciphering Engima, the code used by the German armed forces to protect their radio communications. Turing's work on the version of Enigma used by the German navy was vital to the battle for supremacy in the North Atlantic.
He also contributed to the attack on the cyphers known as 'Fish' which were used by the German High Command for the encryption of signals during the latter part of th This monograph describes the synthesis and use of biologically-inspired artificial hydrocarbon networks AHNs for approximation models associated with machine learning and a novel computational algorithm with which to exploit them. The reader is first introduced to various kinds of algorithms designed to deal with approximation problems and then, via some conventional ideas of organic chemistry, to the creation and characterization of artificial organic networks and AHNs in particular.
The advantages of using organic networks are discussed with the rules to be followed to adapt the network to its objectives. Graph theory is used as the basis of the necessary formalism. Simulated and experimental examples of the use of fuzzy logic and genetic algorith The book is intended for an undergraduate audience but can also be used for graduate-level studies with the suggestion of adding some of the primary sources listed in the extensive bibliography. September 30, August 8, July 14, What imagination can Biotechnology as a teacher bring to Artificial Intelligence?
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