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» Neural Network Regression for LHF Process Optimization
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ICONIP
2008
13 years 8 months ago
Neural Network Regression for LHF Process Optimization
We present a system for regression using MLP neural networks with hyperbolic tangent functions in the input, hidden and output layer. The activation functions in the input and outp...
Miroslaw Kordos
ICANN
2011
Springer
12 years 10 months ago
Temperature Prediction in Electric Arc Furnace with Neural Network Tree
Abstract. This paper presents a neural network tree regression system with dynamic optimization of input variable transformations and post-training optimization. The decision tree ...
Miroslaw Kordos, Marcin Blachnik, Tadeusz Wieczore...
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
14 years 14 days ago
Nonlinear feature extraction using a neuro genetic hybrid
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...
Yung-Keun Kwon, Byung Ro Moon
IJCNN
2008
IEEE
14 years 1 months ago
A neural network approach to ordinal regression
— Ordinal regression is an important type of learning, which has properties of both classification and regression. Here we describe an effective approach to adapt a traditional ...
Jianlin Cheng, Zheng Wang, Gianluca Pollastri
ICA
2004
Springer
14 years 10 days ago
Improving GRNNs in CAD Systems
Different Computer Aided Diagnosis (CAD) systems have been recently developed to detect microcalcifications (MCs) in digitalized mammography, among other techniques, applying Gen...
Fulgencio S. Buendía Buendía, J. Mig...