Sentence examples for using a learning law from inspiring English sources

Uncertainties such as friction and other electro-magnetic phenomena are approximated with a radial basis function neural network, which is trained online using a learning law based on Lyapunov design.

A high order recurrent neural network is used in order to identify the unknown system and a learning law is obtained using the Lyapunov methodology.

Rather than explicitly solving these equations, in our approach the control law is parameterized and the unknown parameter vector is learned using an actor critic reinforcement learning algorithm.

As a friction law, we used a composite law proposed by Kato and Tullis (2001).

We designed and implemented a method that fits an inverse power law model to points of a given learning curve created using a small annotated training set.

By constructing a differential-difference-type learning law and an adaptive learning control law, and using Lyapunov-Krasovskii-like composite energy functional method, a novel sufficient condition is derived to ensure adaptive asymptotical synchronization in the mean square sense for the addressed system.

Both used an inverse power-law model as the empirical learning curve.

The theoretical assessments were performed using a workplace-based ICT tool (computer) that consisted of 8 learning objectives: "Health", "Communications", "Oral care", "Ergonomics, hygiene, esthetic, environmental", "Rehabilitation", "Assistive technology", "Basic health care", and "Law and organization".

The first one dealt with a benchmark problem used in the paper to explain how the discontinuous learning law works.

To use a loose biological analogy, law provides homeostasis.

We use a numerical example to demonstrate the validity of the proposed direct learning law.