Add to ORKGThis paper explores whether analog circuitry can adequately perform constrained optimization. Constrained optimization circuits are designed using the differential multiplier method. These circuits fulfill time-varying constraints correctly. Example circuits include a quadratic programming circuit and a constrained flip-flop
This paper is concerned with neural networks which have the ability to solve linear and nonlinear co...
We pursue a particular approach to analog computation, based on dynamical systems of the type used i...
We describe a methodology for solving convex constraint problems using analog circuits. We demonstra...
Architectures and circuit techniques for implementing general piecewise constrained optimization pro...
This paper is concerned with utilizing analog circuits to solve various linear and nonlinear program...
In this work we propose and investigate a new method of solving quadratic and linear optimization pr...
This paper is concerned with utilizing neural networks and analog circuits to solve constrained opti...
We use constrained optimization to select operating parameters for two circuits: a simple 3-transist...
A 3-μm CMOS IC is presented demonstrating the concept of an analog neural system for constrained opt...
This paper is concerned with utilizing neural networks and analog circuits to solve constrained opti...
Many optimization models of neural networks need constraints to restrict the space of outputs to a ...
Technology scaling brings about the need for computationally efficient methods for circuit analysis,...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
A systematic approach for the design of analog neural nonlinear programming solvers using switched-c...
This Paper presents a methodology for the design of analog circuits. Under this methodology, the por...
This paper is concerned with neural networks which have the ability to solve linear and nonlinear co...
We pursue a particular approach to analog computation, based on dynamical systems of the type used i...
We describe a methodology for solving convex constraint problems using analog circuits. We demonstra...
Architectures and circuit techniques for implementing general piecewise constrained optimization pro...
This paper is concerned with utilizing analog circuits to solve various linear and nonlinear program...
In this work we propose and investigate a new method of solving quadratic and linear optimization pr...
This paper is concerned with utilizing neural networks and analog circuits to solve constrained opti...
We use constrained optimization to select operating parameters for two circuits: a simple 3-transist...
A 3-μm CMOS IC is presented demonstrating the concept of an analog neural system for constrained opt...
This paper is concerned with utilizing neural networks and analog circuits to solve constrained opti...
Many optimization models of neural networks need constraints to restrict the space of outputs to a ...
Technology scaling brings about the need for computationally efficient methods for circuit analysis,...
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
A systematic approach for the design of analog neural nonlinear programming solvers using switched-c...
This Paper presents a methodology for the design of analog circuits. Under this methodology, the por...
This paper is concerned with neural networks which have the ability to solve linear and nonlinear co...
We pursue a particular approach to analog computation, based on dynamical systems of the type used i...
We describe a methodology for solving convex constraint problems using analog circuits. We demonstra...