A pattern recognition artificial neural network method for random fatigue loading life prediction

AN IMPROVED CONTROLLED CHAOTIC NEURAL NETWORK FOR PATTERN RECOGNITION

A sigmoid function is necessary for creation a chaotic neural network (CNN). In this paper, a new function for CNN is proposed that it can increase the speed of convergence. In the proposed method, we use a novel signal for controlling chaos. Both the theory analysis and computer simulation results show that the performance of CNN can be improved remarkably by using our method. By means of this...

Prediction of random-velour needle punching force using artificial neural network

Artificial Neural Network Circuit for Spectral Pattern Recognition

Recognition and prediction of leukemia with Artificial Neural

  Abstract   Background : Leukemia is one of the mostcommon cancers in children, comprising more than a third of all   childhood cancers. Newly affected patients in USA are estimated as 10100cases, and if these cases are diagnosed late or proper treatment is not applied, then it can be mortal. Because rapid and proper diagnosis of leukemia based on clinical or medicinal findings (without biopsy...

Neural Network Based Electric Field Pattern Recognition for Earthquake Prediction

This study concerns monopolar electric field measurement (MEFM) which is assumed to be related to change in fault stress and evaluation of patterns shaped by acquired data from different locations. Patterns are constructed at a central computer that receives on line data packages from 11 stations through FTP over the internet in Marmara Region (northwestern Turkey). Probable precursory patterns...