Publications

As described in the first article of this issue, all selectivity required by the microwave transmitter and microwave receiver of the T D - 3 radio system is provided by passive networks.

Is the link between technology and productivity dead? This is a question on the minds of economists, policy makers and technocrats around the world.

We describe the dimensioning and benchmarking of packet transport networks with aggregated link capacities up to the Tbit/s range, using a circuit-switching (cross-connect) infrastructure below pac

In this paper, neural architectures for controlling non-linear plants with parameter variation are proposed.

The general problem of recognizing the pattern in a time-dependent signal is discussed and an analog model neural network which can solve this problem is presented.

An improved fuzzy adaptive back-propagation algorithm is proposed and applied to the identification of mechanical parameters of the surrounding rock of underground caverns in stratified layers.

The design process transforms abstract functional specifications into a manufacturable assembly (or synthesis) of known parts.

Thus far, neural networks have been implemented chiefly as mainframe simulations or in analog array processors (e.g., resistive nets.) Mainframe simulations have the disadvantage of being relative

Three neural net chips will be described. The first is a microfabricated resistor-synapse array with mask-programmed connections.

Rising energy consumption and thus equipment operating cost as well as the parallel environmental need to reduce the carbon footprint is a very important issue in mobile radio networks.