Howto:Neural networks in Nasal

Status: WIP/draft

Last update: 10/2011

Author/s: Hooray

topics to be covered

• pre-requisites (matrix maths)
• What are neural networks?
• advantages and disadvantages
• use cases in FlightGear (AI, bombable, combat etc)
• model of an artificial neuron
  • number of 1-n inputs
  • each input has one associated weight (positive/negative floating point factor)
  • computation of activation value (foreach input)
  • activation threshold
  • output signal
• layering neural networks (input layer, processing layers, output layer)
• types of networks
  • feedforward network
• backpropagation
• training a network
• types of NN training
• Implementing Neural Networks (NN) in Nasal
  • using vectors of inputs and associated input weights
  • using a Nasal hash as a helper object
• Mapping properties to neural inputs
• Mapping neural network outputs to properties