Andere Kunden interessierten sich auch für
![Autonomous Defensive Space Control Via On-Board Artificial Neural Networks]( "Autonomous Defensive Space Control Via On-Board Artificial Neural Networks")
Autonomous Defensive Space Control Via On-Board Artificial Neural Networks59,99 €![Selection of Psychophysiological Features Across Subjects for Classifying Workload Using Artificial Neural Networks]( "Selection of Psychophysiological Features Across Subjects for Classifying Workload Using Artificial Neural Networks")
Selection of Psychophysiological Features Across Subjects for Classifying Workload Using Artificial Neural Networks59,99 €![An Integrated Architecture and Feature Selection Algorithm for Radial Basis Neural Networks]( "An Integrated Architecture and Feature Selection Algorithm for Radial Basis Neural Networks")
An Integrated Architecture and Feature Selection Algorithm for Radial Basis Neural Networks59,99 €![Image Fusion Using Autoassociative-Heteroassociative Neural Networks]( "Image Fusion Using Autoassociative-Heteroassociative Neural Networks")
Image Fusion Using Autoassociative-Heteroassociative Neural Networks59,99 €![Evolutionary Artificial Neural Network Weight Tuning to Optimize Decision Making for an Abstract Game]( "Evolutionary Artificial Neural Network Weight Tuning to Optimize Decision Making for an Abstract Game")
Evolutionary Artificial Neural Network Weight Tuning to Optimize Decision Making for an Abstract Game59,99 €![Using Upper Layer Weights to Efficiently Construct and Train Feedforward Neural Networks Executing Backpropagation]( "Using Upper Layer Weights to Efficiently Construct and Train Feedforward Neural Networks Executing Backpropagation")
Using Upper Layer Weights to Efficiently Construct and Train Feedforward Neural Networks Executing Backpropagation59,99 €![Using Neural Networks for Estimating Cruise Missile Reliability]( "Using Neural Networks for Estimating Cruise Missile Reliability")
Using Neural Networks for Estimating Cruise Missile Reliability59,99 €
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.