In the area of Structural Health Monitoring (SHM) much attention has been paid to model based approach. Recently, the focus has shifted to data-driven techniques as it can even work with complex structures. This paper focuses on data-driven approach for SHM and highlights the application of Matching Pursuit (MP) and Artificial Neural Network (ANN) for damage detection using guided flexural wave...

In this chapter, I consider a design framework of a computational experiment in finance. The examination of statistics used for economic forecasts evaluation and profitability of investment decisions, based on those forecasts, reveals only weak relationships between them. The “degree of improvement over efficient prediction” combined with directional accuracy are proposed in an estimation techn...

When artifical neural networks (ANN) are used in the prediction problems, it is usually desirable that some form of confidence bound is placed on the predicted value. Methods to estimate the confidence bound are available. However, these methods are valid under certain assumptions, which are rarely satisfied in practice. The behavior of the estimated confidence bound are not well understood whe...

In this paper we shortly review the aim of the INTER1-project (Intelligent Neural InTERface) and present our proposal for the modus operandi to process real nerve signals. In the second part we present a Self-OrganizingMap (SOM) that classify nerve signals from the gastric nerve of a crab. Thereafter we present the interpretation of the obtained clusters by an integration based signal interpret...

The credit scoring aim is to classify the customer credit as defaulter or non-defaulter. The credit risk analysis is more effective with further boosting and smoothing of the parameters of models. The objective of this paper is to explore the credit score classification models with an imputation technique and without imputation technique. However, data availability is low in case of without imp...