Meek & Walton ([2]) have examined the shapes of G planar single cubic transition S - and C-shaped curves between two circles. We show that use of another parameter makes their analysis be more complete and easier to read

The classical binary classification problem is considered in this paper. We show that every training set is nonlinearly separable in the Euclidean feature space, where the dimension of the Euclidean feature space can be arbitrarily pre-specified. This is done by explicitly constructing the...

Classification is a common task for supervised neural networks. A specific radial basis function network for classification is the so-called RBF network with dynamic decay adjustment (RBFN-DDA). Fast training and good classification performance are properties of this network. RBFN-DDA is a...

Information security is a critical issue with all information systems. One of the key points in information security is user authentication. Password is widely used to authenticate a legitimate user. In conventional password authentication schemes, a server must maintain a password table that...

Reactive Ion Etching (RIE) is a key process in VLSI circuit fabrication. At present, most semiconductor manufacturing equipment is designed to be operated in an open-loop mode. This results in less than optimal performance. In fact, it is known that the RIE process is not very robust and...

The problem of the genesis of oscillatory phenomena in a continuous distribution of excitatory and inhibitory neurons is addressed by introducing a neural field model of reaction-diffusion type. The presence of the diffusive term, combined with the nonlinear point interactions allows the system...

Self-organizing maps (SOM) are widely used for their topology preservation property: neighboring input vectors are quantified (or classified) either on the same location either on neighboring ones on a predefined grid. But SOM are also widely used for their more classical vector quantization...

This paper proposes a novel information theoretic approach to self-organizing called . The new method aims to mediate between competition and cooperation among neurons by controlling information content in the neurons. Competition is realized by maximizing information content in neurons.In the...

This paper proposes a novel information theoretic approach to self-organizing called The new method aims to mediate between competition and cooperation among neurons by controlling information content in the neurons. Competition is realized by maximizing information content in neurons. In the...