This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization. It details more than 40 years of Soviet and Russian neural network research and presents a systematized methodology of neural networks synthesis. The theory is expansive: covering not just traditional topics such as network architecture but also neural continua in function spaces as well.
This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization. It details more than 40 years of Soviet and Russian neural network research and presents a systematized methodology of neural networks synthesis. The theory is expansive: covering not just traditional topics such as network architecture but also neural continua in function spaces as well.
Alexander lived in Paris when he wrote his memoirs, Once a Grand Duke, which were first published in 1932. It is a rich source of dynastical and court life in Imperial Russia’s last half century, and Alexander also describes time spent as guest of the future Abyssinian Emperor Ras Tafari. “The history of the last fifty turbulent years of the Russian Empire provides only a background, but is not the subject of this book. “In compiling this record of a grand duke’s progress I relied on memory only, all my letters, diaries and other documents having been partly burned by me and partly confiscated by the revolutionaries during the years of 1917 and 1918 in the Crimea.”—Alexander, Grand Duke of Russia, Foreword
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