title: Optimization neural network for solving flow problems.
abstract: This paper describes a neural network for solving flow problems, which are of interest in many areas of application as in fuel, hydro, and electric power scheduling. The neural network consist of two layers: a hidden layer and an output layer. The hidden units correspond to the nodes of the flow graph. The output units represent the branch variables. The network has a linear order of complexity, it is easily programmable, and it is suited for analog very large scale integration (VLSI) realization. The functionality of the proposed network is illustrated by a simulation example concerning the maximal flow problem.
authors.affiliation: Istituto di Elettronica, Perugia Univ.
authors.forename: R
authors.initials: R
authors.lastname: Perfetti