This is a survey of neural network applications in the real-world scenario. It provides a
taxonomy of artificial neural networks (ANNs) and furnish the reader with knowledge of …

Cluster ensemble has proved to be a good alternative when facing cluster analysis
problems. It consists of generating a set of clusterings from the same dataset and combining …

Abstract Rolling-Element Bearings are extensively used in almost all global industries. Any
critical failures in these vitally important components would not only affect the overall …

This paper presents the building heating demand prediction model with occupancy profile
and operational heating power level characteristics in short time horizon (a couple of days) …

The aim of this study was to predict the effects of different parameters on the conductivity of
mineralized PAN-based carbon nanofibers by the artificial neural network (ANN) method …

Wind turbines have emerged as a prominent renewable energy source globally. Efficient
monitoring and detection methods are crucial to enhance their operational effectiveness …

With the improvement of battery technology over the past two decades and automotive
technology advances, more and more vehicle manufacturers have joined in the race to …

The prediction of wheel wear is a significant issue in railway vehicles. It is correlated with
safety against derailment, economy, ride comfort, and planning of maintenance …

复杂网络控制系统由于其在通信, 计算, 控制等多学科的交叉特性已经引起了各行各业学者的
广泛关注, 复杂网络同步控制已经成为一个研究热点. 本文主要综述了随机复杂网络的同步控制 …

Artificial neural networks (ANN) are often more suitable for classification problems. Even
then, training of ANN is a surviving challenge task for large and high dimensional natured …