TY - JOUR
T1 - A distributed autonomous neuro-gen learning engine and its application to the lattice analysis of cubic structure identification problem
AU - Pasha, Muhammad Fermi
AU - Rahmat, Romi Fadillah
AU - Budiarto, Rahmat
AU - Syukur, Mohammad
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2010/3
Y1 - 2010/3
N2 - 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.
AB - 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.
KW - Cubic structure identification
KW - Distributed adaptive neural network
KW - Gene regulatory engine
KW - Neurogenetic
KW - X-ray diffraction
UR - http://www.scopus.com/inward/record.url?scp=77950107360&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:77950107360
SN - 1349-4198
VL - 6
SP - 1005
EP - 1022
JO - International Journal of Innovative Computing Information and Control
JF - International Journal of Innovative Computing Information and Control
IS - 3
ER -