portada Autonomous Defensive Space Control via On-Board Artificial Neural Networks (en Inglés)

Autonomous Defensive Space Control via On-Board Artificial Neural Networks (en Inglés)

Formato

Libro Físico

Autor

Michael T. Manor

Editorial

Biblioscholar

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

24.6x18.9x0.3 cm

Peso

0.11 kg.

ISBN13

9781288331024

Categorías

Educación

Autonomous Defensive Space Control via On-Board Artificial Neural Networks (en Inglés)

Michael T. Manor (Autor) · Biblioscholar · Tapa Blanda

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Reseña del libro "Autonomous Defensive Space Control via On-Board Artificial Neural Networks (en Inglés)"

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.