Use of Modular Neural Network for Heart Disease
نویسندگان
چکیده
منابع مشابه
Modular Neural Network Approach for Data Classification
Classification is a challenging task that has important application in real life and its application are excepted to grow more in future. In this paper, we analyze the effectiveness of Modular Neural Network as a modelling tool for data classification. The MNN classifier outperforms the surveyed nets due to its novel task decomposition and multi-module decision-making techniques. In this paper,...
متن کاملthe use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach
abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...
15 صفحه اولscour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network
today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...
A Neural Network Modular Architecture For Network Traffic Management
With the rapid evolution of telecommunication networks, real-time traffic management is becoming more and more crucial. We propose here a neural network modular architecture for performing diagnosis at different levels of the telephone network. This system is designed as an aid to the operator. We present results of different experiments with a first version of the architecture which mainly ope...
متن کاملUse of Fuzzy Neural Network to Predict Coronary Heart Disease in a Malaysian Sample
The purpose of this study was to evaluate the ability of fuzzy neural network model to predict the likelihood of coronary heart disease for individuals based on knowledge of their biomarkers, risk habits and demographic profiles. The prediction performance of fuzzy neural network models were measured in terms of percentage accuracies and compared with the prediction performance of logistic regr...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer and Communication Technology
سال: 2010
ISSN: 2231-0371,0975-7449
DOI: 10.47893/ijcct.2010.1044