As an important step in natural language processing (NLP), text classification system has been widely used in many fields, like spam filtering, news classification, and web page detection. Vector space model (VSM) is generally used to extract feature vectors for representing texts which is very important for text classification. In this paper, a feature selection algorithm based on synonymmergi...

This paper discusses the stability condition for discrete-time multi-valued recurrent neural networks (MVNRNNs) in asynchronous update mode. In the existing research literature, an MVNRNN in asynchronous update mode has been found convergent if its weight matrix is Hermitian with nonnegative diagonal entries. However, our finding has been that the weight matrix with zero diagonal entries can’t ...

Over the years, many improvements and modifications of the backpropagation learning algorithm have been reported. In this study, we propose a new modified backpropagation learning algorithm by adding the chaotic noise into weight update process. By computer simulations, we confirm that the proposed algorithm can gives a better convergence rate and can find a good solution in early time compared...

This paper proposes a method for estimating the number of iterations required until convergence of a feed-forward neural network for any weight update frequency. The NETtalk neural application has been used to get data on convergence and the best learning rate. Our results show that less frequent weight update implies slower convergence. A formula is derived from the results, describing the rel...

There have been much interest in applying noise to neural networks in order to observe their effect on network performance. In our previous research, we have proposed a new modified backpropagation learning algorithm, in which chaotic noise is added into weight update process. By computer simulations, we confirmed that the presence of chaotic noise during weight update process in feedforward ne...

This paper focuses on the adaptation mechanisms in adaptive hybrid controllers. Most adaptive hybrid controllers update two filters individually according to the filteredreference least mean squares (FxLMS) algorithm. Because this algorithm was derived for feedforward control, it does not take into account the presence of a feedback loop in the gradient calculation. This paper provides a deriva...

A sparse subgraph G′ of G is called a matching sparsifier if the size or weight of matching in G′ is approximately equal to the size or weight of maximum matching in G. Recently, algorithms have been developed to find matching sparsifiers in a static bipartite graph. In this paper, we show that we can find matching sparsifier even in an incremental bipartite graph. This observation leads to fol...