In this paper, we propose the use of local sensitivity analysis (LSA) for the structure
simplification of the probabilistic neural network (PNN). Three algorithms are introduced …

In this work, the modification of the probabilistic neural network (PNN) is proposed. The
traditional network is adjusted by introducing the weight coefficients between pattern and …

Fault diagnosis methods based on probabilistic neural networks (PNNs) have been widely
used in various products, owing to their simplicity and efficiency. However, in some multi …

Probabilistic neural network (PNN) has a sizable structure since it requires all training
records in the activation of its hidden layer. This fact makes it suffer from the problem of the …

This work introduces an optimized wavelet designed by fractionally delaying the coefficients
of the unit delay filter. The wavelets produced by optimized fractionally delayed filter …

The use of artificial intelligence tools is one of the areas of development of medical
diagnostics in its various fields. This paper is devoted to the study of the current state of …

It is important to improve the classification accuracy and reduce the storage space when
probabilistic neural networks are used for pattern classification tasks. Based on a unit …

The efficiency of the probabilistic neural network (PNN) is very sensitive to the cardinality of
a considered input data set. It results from the design of the network's pattern layer. In this …

It is well known that, while the training mode of probabilistic neural network is quickly
completed by a straightforward manner of allocating the units in a single hidden layer, its …

Over-break caused by smooth blasting operation has been extensively considered the main
factor affecting not only the safety of tunneling but also the cost of construction. Well …