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NPL
1998
175views more  NPL 1998»
13 years 9 months ago
Prediction of Chaotic Time-Series with a Resource-Allocating RBF Network
Abstract. One of the main problems associated with arti cial neural networks online learning methods is the estimation of model order. In this paper, we report about a new approach...
Roman Rosipal, Milos Koska, Igor Farkas
ICIC
2005
Springer
14 years 3 months ago
A Nonlinear Adaptive Predictive Control Algorithm Based on OFS Model
Firstly, a method is introduced which uses Volterra series deploying technique to construct a nonlinear model based on OFS model. Then an improved novel incremental mode multiple s...
Haitao Zhang, Zonghai Chen, Ming Li, Wei Xiang, Ti...
MICAI
2004
Springer
14 years 3 months ago
Extracting Temporal Patterns from Time Series Data Bases for Prediction of Electrical Demand
In this paper we present a technique for prediction of electrical demand based on multiple models. The multiple models are composed by several local models, each one describing a r...
J. Jesus Rico Melgoza, Juan J. Flores, Constantino...
SIGMETRICS
1998
ACM
14 years 2 months ago
Predicting MPEG Execution Times
This paper reports on a set of experiments that measure the amount of CPU processing needed to decode MPEGcompressed video in software. These experiments were designed to discover...
Andy C. Bavier, Allen Brady Montz, Larry L. Peters...
AUSAI
2006
Springer
14 years 1 months ago
Polynomial Pipelined Neural Network and Its Application to Financial Time Series Prediction
A novel type of higher order pipelined neural network, the polynomial pipelined neural network, is presented. The network is constructed from a number of higher order neural networ...
Abir Jaafar Hussain, Adam Knowles, Paulo J. G. Lis...