There are various systems of feedback to allow the system to learn by adjusting various internal parameters such as the strength of connections between layers.
The performance and the internal parameters of the chiller at part load are, therefore, calculated.
Successful application of neural network models relies heavily on problem-dependent internal parameters.
The internal parameters of such modified Hopfield networks are computed using the valid-subspace technique.
The agent's contribution in determining internal parameters for the LIDA architecture is also described.
By changing the orientation and the amount of applied strain, we tune the internal parameters of the gain medium18,19,20,21,22 to successfully generate the desired chaotic output.
Furthermore, we evaluate the robustness of the proposed method with respect to internal parameters and tree size.
In order to tackle unknown internal parameters and unknown high-frequency gains, a projection-type parameter estimation algorithm is proposed.
The effect of the internal parameters of the algorithm is investigated, showing that random close packings can be obtained.
Consequently, the cost of engineering neural models rises in such circumstance to seek for appropriate internal parameters.
For example, in an amplifier, a switch may select the sound source by controlling the input to the circuit, and a dial may adjust the volume by controlling internal parameters such as a variable resistance.
