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» Smoothing of Chemical Analysis Data by Neural Networks
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NECO
2008
111views more  NECO 2008»
14 years 11 months ago
A Neural Network Model of the Eriksen Task: Reduction, Analysis, and Data Fitting
We analyze a neural network model of the Eriksen task, a twoalternative forced choice task in which subjects must correctly identify a central stimulus and disregard flankers that...
Yuan Sophie Liu, Philip Holmes, Jonathan D. Cohen
NCA
2002
IEEE
14 years 11 months ago
The Construction of Smooth Models using Irregular Embeddings Determined by a Gamma Test Analysis
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
Alban P. M. Tsui, Antonia J. Jones, A. Guedes de O...
JISE
1998
46views more  JISE 1998»
14 years 11 months ago
Forecasting and Analysis of Marketing Data Using Neural Networks
Jingtao Yao, Nicholas Teng, Hean-Lee Poh, Chew Lim...
IEAAIE
2005
Springer
15 years 5 months ago
A SOM Based Approach for Visualization of GSM Network Performance Data
In this paper, a neural network based approach to visualize performance data of a GSM network is presented. The proposed approach consists of several steps. First, a suitable propo...
Pasi Lehtimäki, Kimmo Raivio
JCNS
2000
165views more  JCNS 2000»
14 years 11 months ago
A Population Density Approach That Facilitates Large-Scale Modeling of Neural Networks: Analysis and an Application to Orientati
We explore a computationally efficient method of simulating realistic networks of neurons introduced by Knight, Manin, and Sirovich (1996) in which integrate-and-fire neurons are ...
Duane Q. Nykamp, Daniel Tranchina