A switched gate synaptic weighting circuit for optically coupled neural networks

A coupled FDTD-artificial neural network

A coupled FDTD-artificial neural network technique for large-signal analysis of microwave circuits

✍ S. Goasguen; S. M. El-Ghazaly 📂 Article 📅 2001 🏛 John Wiley and Sons 🌐 English ⚖ 302 KB

We propose a first-order global modeling approach of Monolithic Microwave Integrated Circuits (MMIC) by modeling the active device with a neural network based on a full hydrodynamic model. This neural network describes the nonlinearities of the equivalent circuit parameters of an MESFET implemented