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ISCI
2006
96views more  ISCI 2006»
14 years 11 months ago
A comparison of classification accuracy of four genetic programming-evolved intelligent structures
We investigate the effectiveness of GP-generated intelligent structures in classification tasks. Specifically, we present and use four context-free grammars to describe (1) decisi...
Athanasios Tsakonas
IJACTAICIT
2010
237views more  IJACTAICIT 2010»
14 years 9 months ago
Path Planning of Mobile Robot Based on Modification of Vector Field Histogram using Neuro-Fuzzy Algorithm
In this paper, a neuro-fuzzy algorithm has been implemented to improve the path planning of a mobile robot based on modification of vector field histogram (VFH) approach using neu...
Ali H. Hamad, Fatima B. Ibrahim
FIMH
2005
Springer
15 years 5 months ago
A Deterministic-Statistic Adventitia Detection in IVUS Images
Plaque analysis in IVUS planes needs accurate intima and adventitia models. Large variety in adventitia descriptors difficulties its detection and motivates using a classification...
Debora Gil, Aura Hernandez, Antoni Carol, Oriol Ro...
ESWA
2007
96views more  ESWA 2007»
14 years 11 months ago
Forecasting airborne pollen concentration time series with neural and neuro-fuzzy models
Forecasting airborne pollen concentrations is one of the most studied topics in aerobiology, due to its crucial application to allergology. The most used tools for this problem ar...
José Luis Aznarte, José Manuel Benit...
ICANN
2007
Springer
15 years 6 months ago
Selection of Basis Functions Guided by the L2 Soft Margin
Support Vector Machines (SVMs) for classification tasks produce sparse models by maximizing the margin. Two limitations of this technique are considered in this work: firstly, th...
Ignacio Barrio, Enrique Romero, Lluís Belan...