NETWORK MODELS AS A SOLUTION FOR COMPLEX TECHNICAL PRODUCT`S DIAGNOSING PROBLEMS SOLVING
نویسندگان
چکیده
منابع مشابه
Discrete Optimization Models for Solving Complex Products Design Problems
The development and research of discrete optimization models with logical, resource and other constraints to solve complex products design problems are continued in the article. These models are based on the SAT problem and its generalizations. Particular attention is paid to the questions of design of series of products using special sets of components (”kernels”) that have been suggested by t...
متن کاملA Hybrid intelligent system for diagnosing and solving financial problems
Our main purpose in this dissertation is to develop a system to diagnose and indicate solutions to financial health problems of small and medium firms (SMF). Although monitoring and adjusting financial problems play a central role in the firm’s performance, usually SMF face difficulties in these tasks for lacking human resources and for having incapacity to afford a consultant. The closest type...
متن کاملMathematical Programming Models for Solving Unequal-Sized Facilities Layout Problems - a Generic Search Method
This paper present unequal-sized facilities layout solutions generated by a genetic search program named LADEGA (Layout Design using a Genetic Algorithm). The generalized quadratic assignment problem requiring pre-determined distance and material flow matrices as the input data and the continuous plane model employing a dynamic distance measure and a material flow matrix are discussed. Computa...
متن کاملA Recurrent Neural Network for Solving Strictly Convex Quadratic Programming Problems
In this paper we present an improved neural network to solve strictly convex quadratic programming(QP) problem. The proposed model is derived based on a piecewise equation correspond to optimality condition of convex (QP) problem and has a lower structure complexity respect to the other existing neural network model for solving such problems. In theoretical aspect, stability and global converge...
متن کاملAn efficient one-layer recurrent neural network for solving a class of nonsmooth optimization problems
Constrained optimization problems have a wide range of applications in science, economics, and engineering. In this paper, a neural network model is proposed to solve a class of nonsmooth constrained optimization problems with a nonsmooth convex objective function subject to nonlinear inequality and affine equality constraints. It is a one-layer non-penalty recurrent neural network based on the...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Issues of radio electronics
سال: 2019
ISSN: 2218-5453
DOI: 10.21778/2218-5453-2019-2-38-42