JARINGAN SYARAF TIRUAN DINAMIS NONLINEAR KHANH V. NGUYEN UNTUK MENYELESAIKAN MASALAH PEWIROGRAMAN LINEAR

Abstract

ABSTRACT A nonlinear dynamical artificial neural networks of Khanh V. Nguyen is constructed by repeatedly differensial equation system, that formulate the primal neurons and dual neurons configurations which have connection with each others, construct an artificial neural networks topology which adhere the paralel system, that is a system work which has ability to find solutions in the same time. A nonlinear dynamical artificial neural networks of Khanh V. Nguyen has ability to solve linear programming problems for primal and dual problems which have a lot of decision variables as much as we want. An exhausted of optimal solutions is shown by a line simulation from each decision variables value which without oscillation already. ABSTRAK Jaringan syaraf tiruan dinamis nonlinear Khanh V. Nguyen dibangun oleh sistem persamaan differensial berulang, yang merumuskan konfigurasi dari neuron primal dan neuron dual yang saling berhubungan satu sama lain, membangun topologi jaringan syaraf tiruan yang menganut kinerj a sistem paralel, yaitu kinerj a sistem yang memiliki kemampuan menemukan solusi secara bersamaan. Jaringan syaraf tiruan dinamis nonlinear Khanh V. Nguyen memiliki kemampuan untuk menyelesaikan masalah pemrograman linear untuk masalah primal dan dual dengan jumlah variabel keputusan sebanyak yang diinginkan. Tercapainya solusi optimal ditunjukkan oleh simulasi garis dari tiap nilai variabel keputusan yang sudah tanpa getar.