In the present research, we obtain the solution of the fuzzy nonlinear programming problems -FNLPs- using recurrent
neural network models. Since there is a few study and research for resolving of FNLP by recurrent neural ...

The present scientific attempt is devoted to investigating the fuzzy nonconvex optimization problems (NCOPs) utilizing the concepts of recurrent neural networks (RNNs). To the best of our knowledge, this paper is the first ...

‎Control theory is a mathematical description of how to act optimally‎ ‎to gain future rewards‎. ‎In this paper we give an introduction to deterministic‎ ‎and stochastic control theory; partial observability‎ ‎, ‎learning ...

Mixed Integer Programming is a powerful tool to model and solve hard combinatorial optimization problems. Chip design and verification, network design,[1] line planning, frequency assignment, various types

of ...

In this paper, a representation of a recurrent neural network to solve fuzzy quadratic programming problems -FQP- is given. The motivation of the paper is to design a new effective one-layer structure recurrent neural network ...

میل نهایی به مصرف در گروه‌های درآمدی، در سیاست‌گذاری‌های کلان اقتصادی از اهمیت زیادی برخوردار است. اما به علت محدودیت هایی مانند نبودن آمار درآمد و مصرف برای گروه های درآمدی بطور مستقیم در سالنامه های آماری ایران، تخمین ...

In this paper the application of projection neural network for solving bilinear programming problems (BLPs) is obtained. So far as we know, no study has yet been attempted for these problems via neural network. In fact, ...