It then presents a set of design patterns to help VE designers solve recurrent design problems.
However, microcircuits can be fundamentally different in terms of the precise recurrent design used to achieve a specific functionality.
We have utilized WebML as the design platform of our approach and we capture design reuse by detecting all the recurrent design structures within the hypertext schema of an application.
Patterns are derived from recurrent designs of specific agent-based applications.
This paper proposes a recurrent fuzzy network design using the hybridization of a multigroup genetic algorithm and particle swarm optimization (R-MGAPSO).
Two ANNs, a three-layered back-propagation and a recurrent neural network, were designed and tested for the purpose.
To achieve real-time solution rates for the l∞ norm-based thrust allocation problem, a recurrent neural network is designed.
In addition, design of a recurrent fuzzy controller for a practical experiment on water bath temperature control is performed.
Optimal batch plant design is a recurrent issue in Process Engineering, which can be formulated as a Mixed Integer Non-Linear Programming (MINLP) optimisation problem involving specific constraints, which can be, typically, the respect of a time horizon for the synthesis of various products.
We present a recurrent neural-network (RNN) controller designed to solve the tracking problem for control systems.
