An empirical comparison of conventional techniques, neural networks and the three stage hybrid Adaptive Neuro Fuzzy Inference System (ANFIS) model for credit scoring analysis: The case of Turkish credit card data

TL;DR: In this article, a methodology using fuzzy rough-set theory and fuzzy C-means clustering is used to evaluate and investigate the complex relationships between farmer characteristics, competitive environmental factors, and farmer credit level.

TL;DR: In this paper, the authors present a systematic literature review relating theory and application of binary classification techniques for credit scoring financial analysis, as well as some of the scientific paradigm changes throughout the years.

TL;DR: A novel deep learning-based approach called BSM-SAES is proposed which combines Borderline Synthetic Minority oversampling technique and Stacked AutoEncoder based on the Softmax classifier to develop an accurate and reliable bankruptcy prediction model which includes the features extraction process.

TL;DR: In this article, the authors proposed a performance prediction system based on the SCOR® metrics but using artificial neural networks (ANN), which enables adaptation to a specific environment by means of historical performance data.

TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.

TL;DR: It is rigorously established that standard multilayer feedforward networks with as few as one hidden layer using arbitrary squashing functions are capable of approximating any Borel measurable function from one finite dimensional space to another to any desired degree of accuracy, provided sufficiently many hidden units are available.

TL;DR: The architecture and learning procedure underlying ANFIS (adaptive-network-based fuzzy inference system) is presented, which is a fuzzy inference System implemented in the framework of adaptive networks.