The analysis of microarray data is essential for large amounts of gene expression data. In
this review we focus on clustering techniques. The biological rationale for this approach is …

Introduction The decision to extract teeth for orthodontic treatment is important and difficult
because it tends to be based on the practitioner's experiences. The purposes of this study …

Background Growth and development can be determined by cervical vertebrae stages that
were defined on the cephalometric radiograph. Artificial intelligence has the ability to …

Diagnosis and treatment planning are the most important steps in the orthognathic surgery
for the successful treatment. The purpose of this study was to develop a new artificial …

Abstract The Self-Organizing Map (SOM) algorithm has attracted a great deal of interest
among researches and practitioners in a wide variety of fields. The SOM has been analyzed …

Objective: To construct a decision-making expert system (ES) for the orthodontic treatment of
patients between 11 and 15 years old to determine whether extraction is needed by using …

Within the field of genomics, microarray technologies have become a powerful technique for
simultaneously monitoring the expression patterns of thousands of genes under different …

The self-organizing map (SOM) is a powerful method for visualization, cluster extraction, and
data mining. It has been used successfully for data of high dimensionality and complexity …

Background We aimed to determine the growth‐development periods and gender from the
cervical vertebrae using the artificial neural network (ANN). Setting and Sample Population …

This book covers neural networks with special emphasis on advanced learning
methodologies and applications. It includes practical issues of weight initializations, stalling …