site, stage, first course of treatment, and follow-up vi- tal status. .... of interconnected artificial neurons, and are com- ... numeric class label. Decision .... Fig. 1. Block-diagram of the survival prediction system. (Colors are visible in the o

We analyze the lung cancer data available from the SEER program with the aim of developing accurate ... to determine the best course of treatment for a patient,.

Dec 5, 2007 - Trainable neural network ensemble, Stock price trend prediction,. Tehran Stock Exchange, Iran. 1. Introduction. The purpose of this study is to ...

land use land change in the settlement growth and show the advantage of ... than general GIS in the simulation of settlement ..... Commission Joint Research.

Volume 3– Issue 7, 473 - 478, 2014, ISSN: 2319–8656 www.ijcat.com ... Abstract: This paper presents a Flood Prediction Model (FPM) to predict flood in rivers using Artificial Neural Network (ANN) .... [15]. Its highest water level is 20.42 m and dang

A neural network based software reliability model to predict the cumulative number of ... probability of failure-free operation of a computer program in a specified ... with some statistical models and found better prediction than those models.

especially when the problem domain involves predictions ... Instead of using the next close price .... H, high price; L, low price; , lowest low price in the last n.

May 23, 2018 - deep neural network (DNN) and synthetic data of wave speed measurements ..... Deeppose: Human pose estimation via deep neural networks,.

into the Abenaki and Sable sub-basins. Development of the. Scotian Basin commenced during the middle Early Jurassic, with extensive deposition during the ...

Nov 10, 1998 - we can achieve optimal prediction without costly retraining of the neural ... do not adjust for the replacement of Xn+1 by Wn+1. ... how to adjust for this replacement. ... An expert on the measurement error model would be quick to poi