In this paper, the problem of concept drift detection in data stream mining algorithms is
considered. The autoencoder is proposed to be applied as a drift detector. The …

In this paper1 a new neural networks training algorithm is presented. The algorithm
originates from the Recursive Least Squares (RLS) method commonly used in adaptive …

Broad-crested weirs are structures used to measure and control the water flows in rivers,
canals, and irrigation and drainage networks. Accurate estimation of spillway discharge is …

Clustering is an attractive technique used in many fields and lots of clustering algorithms
have been proposed so far. The Density-Based Spatial Clustering of Applications with Noise …

In this paper, we consider the problem of data stream mining with an application of the
Restricted Boltzmann Machine (RBM). If the data incoming rate is very fast, an appropriate …

The two-volume set LNAI 14125 and 14126 constitutes the refereed conference
proceedings of the 22nd International Conference on Artificial Intelligence and Soft …

The paper takes into consideration risk systems that can use not only in nuclear reactions
but other plants with frequent risks for people's life, such as mining, and other. Such facilities …

Population-based algorithms are used to solve optimization problems. In order to improve
their efficiency, new ways of processing the population are investigated. One approach is to …

This paper presents an application of the scaled Givens rotations in the process of
feedforward artificial neural networks training. This method bases on the QR decomposition …

Identity verification takes into account biometric attributes. Behavioral ones are particularly
important. One of them is a dynamic signature. An analysis of such type of a signature uses …