A DISTRIBUTED AUTONOMOUS NEURO-GEN LEARNING ENGINE AND ITS APPLICATION TO THE LATTICE ANALYSIS OF CUBIC STRUCTURE IDENTIFICATION PROBLEM

作者：Pasha Muhammad Fermi^*; Rahmat Romi Fadillah; Budiarto Rahmat; Syukur Mohammad

来源：International Journal of Innovative Computing Information and Control, 2010, 6(3A): 1005-1022.

• X-ray diffraction
• Cubic structure identification
• Neurogenetic
• Distributed adaptive neural network
• Gene regulatory engine

In this paper, we introduce, a new machine learning tool a distributed autonomous neuro-gen learning engine (DANGLE) The tool's motivation is to solve the lattice analysis of cubic structure identification problem. Our engine is also indirectly designed to solve common problems in existing neurogenetic implementations. The proposed DANGLE consists of a gene regulatory engine (GRE) and a high performance distributed adaptive neural network (DANN) Our experiments show that DANGLE performs better than EFuNN and is a powerful tool for lattice analysis of cubic structure identification.

• 出版日期2010-3