In this thesis, we describe a genetic algorithm for optimizing the superpeer structure of semantic peer to peer networks. Peer to peer, also called P2P, networks enable us to sear...
Jaymin Kessler, Khaled Rasheed, Ismailcem Budak Ar...
This work presents a novel approach to filter synthesis on a field programmable analog array (FPAA) architecture using a genetic algorithm (GA). First, a Matlab model of the FPA...
Joachim Becker, Stanis Trendelenburg, Fabian Henri...
Recent work has provided functions that can be used to prove a principled distinction between the capabilities of mutation-based and crossover-based algorithms. However, prior fun...
In the paper, a new optimal learning algorithm for a neo-fuzzy neuron (NFN) is proposed. The algorithm is characteristic in that it provides online tuning of not only the synaptic...
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...