Kohonen network

Robust clustering of acoustic emission signals using the Kohonen network

Acoustic emission-based techniques are promising for nondestructive inspection of mechanical systems. For reliable automatic fault monitoring, it is important to identify the transient crack-related signals in the presence of strong timevarying noise and other interference. In this paper we propose the application of the Kohonen network for this purpose. The principal components of the short-ti...

Image Steganography Method Based on Kohonen Neural Network

A new high capacity image steganography method based on kohonen neural network is introduced. Kohonen network is trained according to the absolute contrast sensitivity of pixels present in cover image. Trained network classify the pixels in different classes of sensitivity. Data embedding is performed in less sensitive pixels by LSB substitution method, which replaces the least significant bits...

High-capacity photorefractive neural network implementing a kohonen topological map.

We designed and built a high-capacity neural network based on volume holographic interconnections in a photorefractive crystal. We used this system to implement a Kohonen topological map. We describe and justify our optical setup and present some experimental results of self-organization in the learning database.

Better Kohonen Neural Network in Radar Images Compression

Kohonen Neural Network Clustering for Voltage Control in Power Systems

Clustering a power system is very useful for the purpose of voltage stability control. However, the methods have developed usually have computational inefficiency. This paper presents a new cluster bus technique using Kohonen neural network for the purpose of forming bus clusters in power systems from the voltage stability viewpoint. This cluster formation will simplify voltage control in power...