Robot-resident neural networks: A step beyond computer simulation

Hybrid Networks – A Step Beyond 3G

the overwhelming trend in the network market for convergence of data communications, broadcast media and telecommunication demands that wireless networks handle mixed services. However, since the existing and forthcoming wireless networks still feature different data rates, network latencies, interaction capabilities, mobility support and cost per bit, each of those networks is only an optimal ...

Multi-Step-Ahead Prediction of Stock Price Using a New Architecture of Neural Networks

Modelling and forecasting Stock market is a challenging task for economists and engineers since it has a dynamic structure and nonlinear characteristic. This nonlinearity affects the efficiency of the price characteristics. Using an Artificial Neural Network (ANN) is a proper way to model this nonlinearity and it has been used successfully in one-step-ahead and multi-step-ahead prediction of di...

Research and Implementation of Computer Simulation System for Neural Networks

The ability of a neural network to process information and to generate a specific pattern of electrical activity is dependent on both the intrinsic biophysical properties of the individual neurons in the network and their pattern of synaptic connectivity. Through the analysis of its biophysical and biochemical structure, and incorporation information science into medical science, computer simul...

Cooperative Co-Evolving Neural Networks for Robosoccer Simulation

A step toward computer-assisted mammography using evolutionary programming and neural networks.

Artificial intelligence techniques can be used to provide a second opinion in medical settings. This may improve the sensitivity and specificity of diagnoses, as well as the cost effectiveness of the physician's effort. In the current study, evolutionary programming is used to train artificial neural networks to detect breast cancer using radiographic features and patient age. Results from 112 ...