Mathematica: A flexible design environment for neural networks

Simulating neural networks - with Mathematica

Application of Artificial Neural Networks for Analysis of Flexible Pavements under Static Loading of Standard Axle

In this study, an artificial neural network was developed in order to analyze flexible pavement structure and determine its critical responses under the influence of standard axle loading. In doing so, more than 10000 four-layered flexible pavement sections composed of asphalt concrete layer, base layer, subbase layer, and subgrade soil were analyzed under the impact of standard axle loading. P...

Learning Flexible Neural Networks for Pattern Recognition

Learning the gradient of neuron's activity function like the weight of links causes a new specification which is flexibility. In flexible neural networks because of supervising and controlling the operation of neurons, all the burden of the learning is not dedicated to the weight of links, therefore in each period of learning of each neuron, in fact the gradient of their activity function, coop...

A Distributed Education Environment Based on Mathematica

This paper presents the concept of an environment for distributed mathematical education based on the computer algebra system Mathematica c. Mathematica is a \system for doing mathematics by computer" which combines a computational engine with powerful presentation and visualization facilities based on the concept of notebooks (multimedia hypertext documents). The system has gained large popula...

SEISMIC DESIGN OF DOUBLE LAYER GRIDS BY NEURAL NETWORKS

The main contribution of the present paper is to train efficient neural networks for seismic design of double layer grids subject to multiple-earthquake loading. As the seismic analysis and design of such large scale structures require high computational efforts, employing neural network techniques substantially decreases the computational burden. Square-on-square double layer grids with the va...