High-level specification of how the brain represents and categorizes the causes of its sensory input allows to link "what is to be done" (perceptual task) with "how to do it" (neural network calculation).
To illustrate the neural response calculation, let us show an example of our method applied to a specific neuron.
The system is controlled by a computer which performs sliding-mode Fuzzy Neural Network (FNN) calculations online.
Neural networks are nonlinear calculation algorithms for images, signals, and numerical data processing.
An intelligent method for the effective displacement back-analysis of earth-rockfill dams was proposed by combining artificial neural networks and evolutionary calculation.
The new displacement back analysis method proposed in this paper is a combination of a neural network, an evolutionary calculation, and numerical analysis techniques.
This method is developed using natural language processing, semantic similarity calculation, fuzzy neural network prediction, clustering algorithm, and latent topic extraction techniques.
We have demonstrated that a sharp Kramers' rate calculation for neural fields with trace-class noise is very challenging as the techniques for white-noise gradient-structure SPDEs cannot be applied directly.
Substantial neuroimaging studies have revealed that the parietal cortex, especially bilateral horizontal segment of the intraparietal sulcus (IPS) and the angular gyrus were potential candidates for neural correlates of mental calculation [ 1, 2, 4– 9].
The work is combined with thermodynamic calculations and neural networks to predict the expected matrix composition, and whether this will transform martensitically or bainitically.
