Uniform Networks in 3-dimensional Space

Michael Burt

Displaying similar documents to “Uniform Networks in 3-dimensional Space”

Neural networks as a tool for georadar data processing

Piotr Szymczyk, Sylwia Tomecka-Suchoń, Magdalena Szymczyk (2015)

International Journal of Applied Mathematics and Computer Science

Similarity:

In this article a new neural network based method for automatic classification of ground penetrating radar (GPR) traces is proposed. The presented approach is based on a new representation of GPR signals by polynomials approximation. The coefficients of the polynomial (the feature vector) are neural network inputs for automatic classification of a special kind of geologic structure-a sinkhole. The analysis and results show that the classifier can effectively distinguish sinkholes from...

Neural workbench: An object-oriented neural network simulatior.

Margaris, Athanasios, Kotsialos, Efthymios, Styliadis, Athansios, Roumeliotis, Manos (2004)

Acta Universitatis Apulensis. Mathematics - Informatics

Similarity:

On uniform Dini derivatives

N. C. Manna (1970)

Colloquium Mathematicae

Similarity:

Uniform boundedness of a family of exhaustive set functions

E. Pap (1976)

Matematički Vesnik

Similarity:

Dynamics in binary neural networks with a finite number of patterns. I: General picture of the asynchronous zero temperature dynamics.

Malyshev, V.A., Spieksma, F.M. (1997)

Mathematical Physics Electronic Journal [electronic only]

Similarity:

Improving prediction of neural networks: a study of two financial prediction tasks.

Sen, Tarun K., Ghandforoush, Parviz, Stivason, Charles T. (2004)

Journal of Applied Mathematics and Decision Sciences

Similarity:

About the use of neural networks in integrated numerical circuits and systems.

Joldeş, Remus, Ileană, Ioan, Olteanu, Emil (2003)

Acta Universitatis Apulensis. Mathematics - Informatics

Similarity:

On neural networks

Jiří Beneš (1990)

Kybernetika

Similarity:

Noise Shaping in Neural Populations with Global Delayed Feedback

O. Ávila Åkerberg, M. J. Chacron (2010)

Mathematical Modelling of Natural Phenomena

Similarity:

The interplay between intrinsic and network dynamics has been the focus of many investigations. Here we use a combination of theoretical and numerical approaches to study the effects of delayed global feedback on the information transmission properties of neural networks. Specifically, we compare networks of neurons that display intrinsic interspike interval correlations (nonrenewal) to networks that do not (renewal). We find that excitatory...