Purpose Neural document clustering techniques, e.g., self-organising map (SOM) or growing neural gas (GNG), usually assume that textual information is stationary on the quantity. However, the quantity of text is ever-increasing. We propose a novel dynamic adaptive self-organising hybrid (DASH) model, which adapts to time-event news collections not only to the neural topological structure but al...

With the advent of tablet and touch screen computing, the number of applications that utilize written text recognition technologies is rapidly increasing. These applications rely on fast and accurate optical character recognition (OCR) algorithms. The selforganizing map (SOM) is an unsupervised algorithm capable of great performance in machine learning. As such, it has become a benchmark in OCR...

Proliferation of endocrine cells was found to occur during early, i.e., first 12 weeks, exocrine pancreatic carcinogenesis after 6 weekly treat ments of Syrian hamsters with the pancreatic carcinogen A'-nitrosobis(2oxopropyl)amine (BOP). Cells containing insulin (Ins), glucagon (Glu), and somatostatin (Som) were noted in all stages of tumor development and were present in adenocarcinomas and in...

Proliferation of endocrine cells was found to occur during early, i.e., first 12 weeks, exocrine pancreatic carcinogenesis after 6 weekly treatments of Syrian hamsters with the pancreatic carcinogen N-nitrosobis(2-oxopropyl)amine (BOP). Cells containing insulin (Ins), glucagon (Glu), and somatostatin (Som) were noted in all stages of tumor development and were present in adenocarcinomas and in ...

Clustering is a way that classifies the raw data reasonably and searches the hidden patterns that may exist in datasets. It is a process of grouping data objects into disjoint clusters so that data in the same cluster are similar, and data belonging to different cluster are differ. Many algorithms have been developed for clustering. In this paper we are reviewing performance analysis of hybrid ...

Flow time of semiconductor manufacturing factory is highly related to the shop floor status; however, the processes are highly complicated and involve more than hundred of production steps. Therefore, a simulation model with the production process of a real wafer fab located in Hsin-Chu Sciencebased Park of Taiwan is built. In this research, a hybrid approach by combining Self-Organizing Map (S...

Objective(s):This study examined whether conjugated linoleic acid (CLA) supplementation affects insulin sensitivity and peroxisome proliferator-activated receptor gamma (PPAR-γ) and glucose transporter type 4 (GLUT-4) protein expressions in the skeletal muscles of rats during endurance exercise. Materials and Methods:Sprague-Dawley male rats were randomly divided into HS (high-fat diet (HFD) s...

This study introduces the classiication of musical instrument sounds by artiicial neural networks (ANN). The time varying spectral contents of sounds are estimated based on Short-time Fourier Transform (STFT) and are applied to ANN structures for classiication. Recognition results obtained from a multilayer perceptron (MLP), time delay neural network (TDNN) and a hybrid self organizing map radi...

This paper proposes an extension of an SOM called the “SOM of SOMs,” or SOM, in which objects to be mapped are self-organizing maps. In SOM, each nodal unit of a conventional SOM is replaced by a function module of SOM. Therefore, SOM can be regarded as a variation of a modular network SOM (mnSOM). Since each child SOM module in SOM is trained to represent an individual map, the parent map in S...

In this paper, we design the hybrid clustering algorithms, which involve two level clustering. At each of the levels, users can select the k-means, hierarchical or SOM clustering techniques. Unlike the existing cluster analysis techniques, the hybrid clustering approach developed here represents the original data set using a smaller set of prototype vectors (cluster means), which allows efficie...