Most current Artificial Neural Network (ANN) models are based on highly simplified brain
dynamics. They have been used as powerful computational tools to solve complex pattern …

The first journal article on neural network application in civil/structural engineering was
published by in this journal in 1989. This article reviews neural network articles published in …

The keys for the development of an effective classification algorithm are: 1) discovering
feature spaces with large margins between clusters and close proximity of the classmates …

Predicting the price of housing is of paramount importance for near-term economic
forecasting of any nation. This paper presents a novel and comprehensive model for …

Membrane systems (also called P systems) refer to the computing models abstracted from
the structure and the functioning of the living cell as well as from the cooperation of cells in …

In recent years the Probabilistic Neural Network (PPN) has been used in a large number of
applications due to its simplicity and efficiency. PNN assigns the test data to the class with …

A probabilistic neural network (PNN) is presented for predicting the magnitude of the largest
earthquake in a pre-defined future time period in a seismic region using eight …

The digital management of engineering construction is one of the primary tasks of smart
construction sites. In the current practice of construction site information management, there …

The goal of this research is to develop an efficient SNN model for epilepsy and epileptic
seizure detection using electroencephalograms (EEGs), a complicated pattern recognition …

To support evaluation and selection processes in engineering, formal decision making
methods can be used. A great number of works applying diverse multiple criteria decision …