Rough Sets and Arti cial
نویسنده
چکیده
منابع مشابه
Uncertainty Management
The purpose of this fairly nontechnical introduction to uncertainty management is to identify various forms of uncertainty, and to survey methods for managing some of these uncertainties. Our emphasis is on topics that may not be familiar to software engineers or, to a lesser extent, to knowledge engineers. These topics include Bayesian estimation, fuzziness, time Petri nets, rough sets, belief...
متن کاملUseful Feature Subsets and Rough Set Reducts
In supervised classi cation learning, one attempts to induce a classi er that correctly predicts the label of novel instances. We demonstrate that by choosing a useful subset of features for the indiscernibility relation, an induction algorithm based on simple decision table can have high prediction accuracy on arti cial and real-world datasets. We show that useful feature subsets are not neces...
متن کاملEvolving Neural Networks for Chlorophyll a Prediction
This paper studies the application of evolutionary arti cial neural networks to chlorophyll a pre diction in Lake Kasumigaura Unlike previous applications of arti cial neural networks in this eld the architecture of the arti cial neural network is evolved automatically rather than designed man ually The evolutionary system is able to nd a near optimal architecture of the arti cial neural networ...
متن کاملLearning to Speculate: Experiments with Arti cial and Real Agents
This paper employs an arti cial agent{based computational approach to understanding and designing laboratory environments in which to test Kiyotaki and Wright's search model of money. The behavioral rules of the arti cial agents are modeled on the basis of prior evidence from human subject experiments. Simulations of the arti cial agent{based model are conducted in two new versions of the Kiyot...
متن کاملEvolutionary Arti cial Neural Networks 12 Xin
Evolutionary arti cial neural networks (EANNs) [1] result from combinations of arti cial neural networks (ANNs) and evolutionary search procedures such as genetic algorithms (GAs). This article introduces the concept of EANNs, reviews the current state-of-the-art and indicates possible future research directions. X. Yao: Evolutionary Arti cial Neural Networks 1
متن کامل