Some of these later models, such as the Adaptive Filter model of Fujita made attempts to understand cerebellar function in terms of optimal control theory.
The results provide support for the suitability of simple models such as the adaptive exponential integrate-and-fire neuron for large network simulations.
We can also study evolutionary transients and assess their pace, something not possible with many other types of models, such as optimization models or adaptive dynamics models.
Comparative analysis of the proposed model is conducted with some traditional models such as neural networks (NN) and adaptive neuro fuzzy inference system (ANFIS).
Several neural network models such as the generalized Hebbian algorithm, adaptive principal component extraction, and the linear and nonlinear Oja's algorithms are reviewed.
This paper presents an adaptive approach to improve the process planning of Rapid Prototyping/Manufacturing (RP/M) for complex product models such as biomedical models.
However, other models, such as the duplication-degeneration-complementation model [ 6] and the escape from adaptive conflict model [ 7, 8], predict more complex forms of divergence.
Simulation models such as the Soil and Water Assessment Tool (SWAT) model (e.g. [21, 22]) and other models such as the Jena Adaptive Modelling System (JAMS) [23] have been increasingly applied to study the impact of agricultural management practices on soil, groundwater and instream water quality through scenario analysis.
There are different algorithms in the background modeling, such as adaptive filtering, neural networks, and Gaussian models [22].
Various types of the adaptive control systems with implicit reference model such as the systems of stabilization and tracking with the prescribed dynamics, systems with adaptive tuning of the low order control laws, and combined signal-parametric system are described.
