Smart Optimization of Machine Systems Using Hierarchical Genotype Representation.

Hierarchical Representation Using NMF

In this paper, we propose a representation model that demonstrates hierarchical feature learning using nsNMF. We stack simple unit algorithm into several layers to take step-by-step approach in learning. By utilizing NMF as unit algorithm, our proposed network provides intuitive understanding of the feature development process. It is able to represent the underlying structure of feature hierarc...

Optimization of Hierarchical Hybrid Systems

A model for a hierarchical hybrid system of a harddisk device is presented. Based on the implementation of this model in Matlab, optimization techniques between the high-level discrete layers are evaluated.

Optimization for Recon � gurable Systems Using Hierarchical Abstraction

Optimization Capabilities of LMS and SMI Algorithm for Smart Antenna Systems (RESEARCH NOTE)

In the present paper convergence characteristics of Sample matrix Inversion (SMI) and Least Mean Square (LMS) adaptive beam-forming algorithms (ABFA) are compared for a Smart Antenna System (SAS) in a multipath environment. SAS are employed at base stations for radiating narrow beams at the desired mobile users. The ABFA are incorporated in the digital signal processors for adjusting the weight...

A Hierarchical Systems Knowledge Representation Framework

We present the design and implementation of a framework for storing and analysing knowledge about engineering systems. The hierarchical entity-relation-attribute model is useful for large data sets, in which it can abstract details so that human users are able to reason about the data. The time-series extension to the model abstracts temporal details. Finally, the implementation of the model in...