Credit scoring has been regarded as a core appraisal tool of different institutions during the
last few decades and has been widely investigated in different areas, such as finance and …

This review is dedicated to a survey on molecular similarity and diversity. Key findings
reported in recent investigations are selectively highlighted and summarized. Even if this …

Classification is one of the most active research and application areas of neural networks.
The literature is vast and growing. This paper summarizes some of the most important …

Credit scoring models have been widely studied in the areas of statistics, machine learning,
and artificial intelligence (AI). Many novel approaches such as artificial neural networks …

In this study, differential evolution algorithm (DE) is proposed to train a wavelet neural
network (WNN). The resulting network is named as differential evolution trained wavelet …

Credit scoring models have been widely studied in the areas of statistics, machine learning,
and artificial intelligence (AI). Many novel approaches such as artificial neural networks …

The purpose of this paper is to present a comprehensive bibliography of neural network
application research in business during the period of 1994–1998. Our extensive literature …

We describe the use of Bayesian regularized artificial neural networks (BRANNs) coupled
with automatic relevance determination (ARD) in the development of quantitative structure …

The intensification of the degradation of antipyrine in aqueous solution by using a UV-A-LED-
photo-Fenton reaction intensified by ferrioxalate complexes and with addition of persulfate …

The decoloration and mineralization of the non-biodegradable azo dye Orange II (OII)
solutions by solar photo-Fenton (SPF) and ferrioxalate-assisted solar photo-Fenton (SPFox) …