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Autonomous Defensive Space Control via On-Board Artificial Neural Networks - Tapa blanda

Manor, Michael T.

 
9781288331024: Autonomous Defensive Space Control via On-Board Artificial Neural Networks
Tapa blanda
ISBN 10: 1288331029 ISBN 13: 9781288331024
Editorial: BiblioScholar, 2012

Sinopsis

Future advances in neural network technology, coupled with increased computer processor capability, may create an opportunity to develop systems that enable satellites to autonomously differentiate, detect and defend against attacks. The Air Force should take advantage of this potential opportunity by investing the necessary resources for the development of space-based neural networks. An artificial neural network (ANN) or commonly just neural network (NN) is an artificial intelligence system created to mimic the ways and methods in which our own brains respond to and learn from inputted stimuli.1 Each of these networks consists of an array of neuron-like gates programmed to take action once a designated threshold is crossed.2 These ANN are adaptive, and learn through continued processing of inputted stimulus while developing a memory by storing the actions it takes in response to this stimulus.3 This memory gained through storing data enables ANNs to become somewhat autonomous over time because they have the ability to recall a given action taken based on a given input received.

"Sinopsis" puede pertenecer a otra edición de este libro.

Reseña del editor

Future advances in neural network technology, coupled with increased computer processor capability, may create an opportunity to develop systems that enable satellites to autonomously differentiate, detect and defend against attacks. The Air Force should take advantage of this potential opportunity by investing the necessary resources for the development of space-based neural networks. An artificial neural network (ANN) or commonly just neural network (NN) is an artificial intelligence system created to mimic the ways and methods in which our own brains respond to and learn from inputted stimuli.1 Each of these networks consists of an array of neuron-like gates programmed to take action once a designated threshold is crossed.2 These ANN are adaptive, and learn through continued processing of inputted stimulus while developing a memory by storing the actions it takes in response to this stimulus.3 This memory gained through storing data enables ANNs to become somewhat autonomous over time because they have the ability to recall a given action taken based on a given input received.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
BiblioScholar
Año de publicación
2012
Idioma
Inglés
ISBN 10 
1288331029
ISBN 13 
9781288331024
Encuadernación
Tapa blanda
Número de páginas
54
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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