Calculus of thought neuromorphic logistic regression in cognitive machines

Calculus of Thought: Neuromorphic Logistic Regression in Cognitive Machines is a must-read for all scientists about a very simple computation method designed to simulate big-data neural processing. This book is inspired by the Calculus Ratiocinator idea of Gottfried Leibniz, which is that machine co...

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Detalles Bibliográficos
Autor principal: Rice, Daniel M. (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Waltham, MA : Academic Press 2014.
Edición:1st edition
Colección:Gale eBooks
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628077506719
Descripción
Sumario:Calculus of Thought: Neuromorphic Logistic Regression in Cognitive Machines is a must-read for all scientists about a very simple computation method designed to simulate big-data neural processing. This book is inspired by the Calculus Ratiocinator idea of Gottfried Leibniz, which is that machine computation should be developed to simulate human cognitive processes, thus avoiding problematic subjective bias in analytic solutions to practical and scientific problems. The reduced error logistic regression (RELR) method is proposed as such a ""Calculus of Thought."" This book re
Notas:Description based upon print version of record
Descripción Física:1 online resource (xiv, 280 pages) : illustrations (some color)
Bibliografía:Includes bibliographical references and index
ISBN:9780124104525