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 …

We use a feedforward backpropagation neural network to classify close-up images of coral
reef components into three benthic categories: living coral, dead coral and sand. We have …

We solve the nonlinear Schrodinger equation with an unsupervised neural network with the
optical axis position z and time t as inputs. The network outputs the real and imaginary …

Fruits of five Date cultivars (Phoenix dactylifera, L.) were studied and Probabilistic Neural
Networks (PNN) techniques were used to develop a classifier of them. Color properties of …

Principal component analysis based on Hebbian learning is originally designed for data
processing in Euclidean spaces. We present in this contribution an extension of Oja׳ s …

One perennial problem in the public opinion poll business is the presence of the 'undecided'
respondents. This problem may be safely neglected if their number is not enough to …

The problem of pollsters is addressed which is to forecast accurately the final answers of the
undecided respondents to the primary question in a public opinion poll. The task is viewed …

A mini-camera is one of several emerging cat-eye devices featuring tiny lenses with
diffracted retro-reflections. It is hard for traditional active laser detection systems to identify a …

Colour is the most important factor affecting the appearance and market acceptance of Asian
noodles. A scanner-based imaging method was developed to assess noodle colour in terms …

With the rapid development of smart devices and ever-increasing popularity of social media
websites such as Flickr, YouTube, Twitter and Facebook, we have witnessed a huge …