A Neural Network Model for Monotone Linear Asymmetric Variation Alinequalities  

Oleh:

He, Bingsheng ; Yang, Hai

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 11 no. 1 (2000), page 3-16.
Topik: LINEAR; neural network; monotone linear; asymmetric; variation; inequalities

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

Lihat Detail Induk

Isi artikel

A linear variational inequality is a uniform approach for some important problems in optimization and equilibrium problems. We give a neural network model for solving asymmetric linear variational inequalities. The model is based on a simple projection and contraction method. Computer simulation is performed for linear programming (LP) and linear complementarity problems (LCP). The test results for the LP problem demonstrate that our model converges significantly faster than the three existing neural network models examined in a comparative study paper.

Opini Anda

Klik untuk menuliskan opini Anda tentang koleksi ini!

Kembali