Background: This study aims to improve accuracy of Bioelectrical Impedance Analysis (BIA) prediction equations for estimating fat free mass (FFM) of the elderly by using non-linear Back Propagation Artificial Neural Network (BP-ANN) model and to compare the predictive accuracy with the linear regression model by using energy dual X-ray absorptiometry (DXA) as reference method. Methods: A total of 88 Taiwanese elderly adults were recruited in this …

## Neural Networks Finance book

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## Perceptron Neural Networks application

This part describes single layer neural networks, including some of the classical approaches to the neural computing and learning problem. In the first part of this chapter we discuss the representational power of the single layer networks and their learning algorithms and will give some examples of using the networks. In the second part we will discuss the representational limitations of single layer networks. Two 'classical' models …

## Model of Artificial Neural Networks

An artificial neural network , often just called a neural network, is a mathematical model inspired by biological neural networks. A neural network consists. Artificial intelligence and cognitive modeling try to simulate some properties of biological neural networks. While similar in their techniques. Artificial neural networks born after McCulloc and Pitts introduced a set of simplified neurons in 1943. These neurons were represented as models of …

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## Neural Network Hardware Implementation

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## Neural Networks Research Group

GO FILE dit by Brothersoft: Topographica is a software package for computational modeling of neural maps,developed by the Institute for Adaptive and Neural Computation at the University of Edinburgh and the Neural Networks Research Group at the University of Texas at AUSTIN. The project is funded by the NIMH Human Brain Project under grant 1R01-MH66991. The goal is to help researchers understand brain function at the level of the topographic maps …