According to the adverse consequences that are brought by financial distress for companies, economy and financial –monetary institutions, the use of methods that can predict the occurrence of financial failure and prevent the loss of wealth is of great importance. The major models of credit risk assessment are based on retrospective information and using the methods which use the updated market...

The aim of this study is to show how a Kohonen map can be used to increase the forecasting horizon of a financial failure model. Indeed, most prediction models fail to forecast accurately the occurrence of failure beyond one year, and their accuracy tends to fall as the prediction horizon recedes. So we propose a new way of using a Kohonen map to improve model reliability. Our results demonstra...

We are focusing on three alternative techniques that can be used to empirically select predictors for failure prediction purposes. The selected techniques have all different assumptions about the relationships between the independent variables. Linear discriminant analysis is based on linear combination of independent variables, logit analysis uses the logistic cumulative probability function a...

Trains of DB Schenker Rail AG create a continuous logfile of diagnostics data. Within the company, methods to use this data in order to increase train availability and reduce costs are researched. An interesting and promising application is the prediction of train component failure. In this paper, we developed and evaluated a method that utilizes the diagnostic data to predict future component ...

A large number of methods like discriminant analysis, logit analysis, recursive partitioning algorithm, etc., have been used in the past for the prediction of business failure. Although some of these methods lead to models with a satisfactory ability to discriminate between healthy and bankrupt ®rms, they su€er from some limitations, often due to the unrealistic assumption of statistical hypoth...

introduction:guillain-barre syndrome(gbs) is the most common cause of acute flaccid paralysis. respiratory failure is the most serious short-term complication of gbs and invasive mechanical ventilation is required in 30% of patients.moreover,60% of those who are intubated develop major complications including pnemonia,sepsis,gi bleeding and pulmonary embolism. thus respiratory failure predictio...

Protein structure prediction is a challenging and unsolved problem in computer science. Proteins are the sequence of amino acids connected together by single peptide bond. The combinations of the twenty primary amino acids are the constituents of all proteins. In-vitro laboratory methods used in this problem are very time-consuming, cost-intensive, and failure-prone. Thus, alternative computati...

Artificial neural network (ANN) based methods have been extensively investigated for equipment health condition prediction. However, effective condition based maintenance (CBM) optimization methods utilizing ANN prediction information are currently not available due to two key challenges: (1) ANN prediction models typically only give a single remaining life prediction value, and it is hard to q...