State-of-the-art radio observatories produce large amounts of data which can be used to
study the properties of radio galaxies. However, with this rapid increase in data volume, it …

The scriptDevanagari'is used in many Indian languages. Hindi language is also under
Devanagari script. In this paper recognition of Hindi characters is done by using a three step …

Recurrent neural networks (RNNs) carry the promise of implementing efficient and
biologically plausible signal processing. They both are optimally suited for a wide area of …

Electronic documents contain tremendous amounts of information. A text summary system is
needed to save time and rapidly know about the document, because the manual text …

In today's digital era, the text may be in form of images. This research aims to deal with the
problem by recognizing such text and utilizing the support vector machine (SVM). A lot of …

Considerable research has been devoted to the integration of fuzzy logic (FL) tools with
classic artificial intelligence (AI) paradigms. One reason for this is that FL provides powerful …

In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-
permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools …

When fuzzy systems are highly nonlinear or include a large number of input variables, the
number of fuzzy rules constituting the underlying model is usually large. Dealing with a large …

Artificial neural networks (ANNs) are often trained using gradient descent algorithms (such
as backpropagation). An important problem in the learning process is the slowdown incurred …

Support vector machines (SVMs) proved to be highly efficient in various classification tasks.
However, the knowledge learned by the SVM is encoded in a long list of parameter values …