A novel generative encoding for exploiting neural network sensor and output geometry.
David B. D'AmbrosioKenneth O. StanleyPublished in: GECCO (2007)
Keyphrases
- neural network
- desired output
- sigmoid function
- rbf network
- generative model
- hidden units
- sensor networks
- pattern recognition
- sensor data
- sensor fusion
- artificial neural networks
- activation function
- neural network model
- multi layer perceptron
- real time
- conjugate priors
- orthogonal basis
- encoding scheme
- nonlinear functions
- input variables
- neural nets
- feed forward
- fuzzy logic
- three dimensional
- network architecture
- geometric constraints
- multi layer
- fuzzy neural network
- recurrent neural networks
- geometric information
- radial basis function
- data acquisition
- discriminative learning
- input data
- knn
- genetic algorithm