A recurrent neural network for nonlinear fractional programming

DOI10.1155/2012/807656zbMath1264.90144OpenAlexW2110468851WikidataQ58912007 ScholiaQ58912007MaRDI QIDQ1955212

Quanju Zhang, Xiao Qing Lu

Publication date: 11 June 2013

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2012/807656

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Fractional programming (90C32)

Related Items (1)

A new methodology for solving bi-criterion fractional stochastic programming

Cites Work

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• Measuring the efficiency of decision making units
• ``Neural computation of decisions in optimization problems
• Recurrent neural networks for linear programming: Analysis and design principles
• A deterministic annealing neural network for convex programming
• Stability theory for ordinary differential equations
• Fractional Resource Allocation with S-Shaped Return Functions
• A note on fractional interval programming
• A note on explicit solution in linear fractional programming
• Analysis and design of a recurrent neural network for linear programming
• A projection neural network and its application to constrained optimization problems
• Neurons with graded response have collective computational properties like those of two-state neurons.
• Nonlinear Programming
• On the capacity of a discrete, constant channel
• Maximization of the transmission rate of a discrete, constant channel
• On the basic theorem of complementarity
• An explicit general solution in linear fractional programming

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