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Bagged Ensemble Of Fuzzy C-Means Classifiers For Nuclear Transient Identification, Piero Baraldi, Roozbeh Razavi-Far, Enrico Zio
Bagged Ensemble Of Fuzzy C-Means Classifiers For Nuclear Transient Identification, Piero Baraldi, Roozbeh Razavi-Far, Enrico Zio
Electrical and Computer Engineering Publications
This paper presents an ensemble-based scheme for nuclear transient identification. The approach adopted to construct the ensemble of classifiers is bagging; the novelty consists in using supervised fuzzy C-means (FCM) classifiers as base classifiers of the ensemble. The performance of the proposed classification scheme has been verified by comparison with a single supervised, evolutionary-optimized FCM classifier with respect of the task of classifying artificial datasets. The results obtained indicate that in the cases of datasets of large or very small sizes and/or complex decision boundaries, the bagging ensembles can improve classification accuracy. Then, the approach has been applied to the …
Classifier-Ensemble Incremental-Learning Procedure For Nuclear Transient Identification At Different Operational Conditions, Piero Baraldi, Roozbeh Razavi-Far, Enrico Zio
Classifier-Ensemble Incremental-Learning Procedure For Nuclear Transient Identification At Different Operational Conditions, Piero Baraldi, Roozbeh Razavi-Far, Enrico Zio
Electrical and Computer Engineering Publications
An important requirement for the practical implementation of empirical diagnostic systems is the capability of classifying transients in all plant operational conditions. The present paper proposes an approach based on an ensemble of classifiers for incrementally learning transients under different operational conditions. New classifiers are added to the ensemble where transients occurring in new operational conditions are not satisfactorily classified. The construction of the ensemble is made by bagging; the base classifier is a supervised Fuzzy C Means (FCM) classifier whose outcomes are combined by majority voting. The incremental learning procedure is applied to the identification of simulated transients in …
Optimal Production Planning For A Multi-Product Closed Loop System With Uncertain Demand And Return, Jianmai Shi, Guoqing Zhang, Jichang Sha
Optimal Production Planning For A Multi-Product Closed Loop System With Uncertain Demand And Return, Jianmai Shi, Guoqing Zhang, Jichang Sha
Mechanical, Automotive & Materials Engineering Publications
We study the production planning problem for a multi-product closed loop system, in which the manufacturer has two channels for supplying products: producing brand-new products and remanufacturing returns into as-new ones. In the remanufacturing process, used products are bought back and remanufactured into as-new products which are sold together with the brand-new ones. The demands for all the products are uncertain, and their returns are uncertain and price-sensitive. The problem is to maximize the manufacturer's expected profit by jointly determining the production quantities of brand-new products, the quantities of remanufactured products and the acquisition prices of the used products, subject …