Natural Intelligence Neuromorphic Engineering

Natural Intelligence Neuromorphic Engineering provides readers with the most recent advances in deep learning, computational intelligence and Artificial Neural Networks (ANN), presenting detailed research and explanations of the physics and physiology principles used in developing natural intelligence for unsupervised learning of Blind Sources Separation (BSS). Author Harold Szu, a world-renowned pioneer in natural intelligence development, assembles a team of experts that cover the latest trends in deep learning, including sections on how to improve robust internal knowledge representation, big database data mining, and real time optical flow.

This collaborative work offers researchers and graduate students the most up-to-date information on the theories and key applications in natural intelligence and deep learning towards real-time, error-free and automatic target recognition.




Covers natural intelligence uses in today's fast-advancing computational intelligence applications
Features MATLAB codes in each chapter that will be made available as free downloads for readers
Provides a short and concise explanation of the physics and physiological principles necessary for developing natural intelligence through unsupervised learning and blind sources separation (BSS)

Ingineria neuromorfa a inteligentei naturale ofera cititorilor cele mai recente progrese in invatarea profunda, inteligenta computationala si retelele neuronale artificiale (ANN), prezentand cercetari detaliate si explicatii ale principiilor de fizica si fiziologie utilizate in dezvoltarea inteligentei naturale pentru invatarea nesupravegheata a separarii surselor oarbe (BSS). ). Autorul Harold Szu, un pionier de renume mondial in dezvoltarea inteligentei naturale, reuneste o echipa de experti care acopera cele mai noi tendinte in invatarea profunda, inclusiv sectiuni despre cum sa imbunatatim reprezentarea solida a cunostintelor interne, extragerea datelor de baze de date mari si fluxul optic in timp real. Aceasta lucrare de colaborare ofera cercetatorilor si studentilor absolventi cele mai actualizate informatii despre teoriile si aplicatiile cheie in inteligenta naturala si invatarea profunda catre recunoasterea tinta in timp real, fara erori si automata. Acopera utilizarile inteligentei naturale in evolutia rapida de astazi aplicatii de inteligenta computationala Caracteristici coduri MATLAB in fiecare capitol care vor fi disponibile ca descarcari gratuite pentru cititori Ofera o explicatie scurta si concisa a principiilor fizice si fiziologice necesare dezvoltarii inteligentei naturale prin invatare nesupravegheata si separarea surselor oarbe (BSS)