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IJCNN
2000
IEEE
13 years 8 months ago
VC Dimension Bounds for Product Unit Networks
A product unit is a formal neuron that multiplies its input values instead of summingthem. Furthermore, it has weights acting as exponents instead of being factors. We investigate...
Michael Schmitt
IJCNN
2000
IEEE
13 years 8 months ago
Sensor Errors Prediction Using Neural Networks
The features of neural networks using for increasing of an accuracy of physical quantity measurement are considered by prediction of sensor drift. The technique of data volume incr...
Anatoly Sachenko, Volodymyr Kochan, Volodymyr Turc...
IJCNN
2000
IEEE
13 years 8 months ago
A New Method for Tracking Modulations in Tonal Music in Audio Data Format
Cq-profiles are 12-dimensional vectors, each component referring to a pitch class. They can be employed to represent keys. Cq-profiles are calculated with the constant Q filter...
Hendrik Purwins, Benjamin Blankertz, Klaus Obermay...
IJCNN
2000
IEEE
13 years 8 months ago
Optimization on Support Vector Machines
João Pedro Pedroso, Noboru Murata
IJCNN
2000
IEEE
13 years 8 months ago
Computational Intelligence in Adaptive Educational Hypermedia
In this paper neuro-fuzzy synergism is applied to implement content sequencing in adaptive hypermedia systems. The level of understanding of the learner is used to construct lesson...
Kyparisia A. Papanikolaou, George D. Magoulas, Mar...
IJCNN
2000
IEEE
13 years 8 months ago
Extracting Distributed Representations of Concepts and Relations from Positive and Negative Propositions
Linear Relational Embedding (LRE) was introduced (Paccanaro and Hinton, 1999) as a means of extracting a distributed representation of concepts from relational data. The original ...
Alberto Paccanaro, Geoffrey E. Hinton
IJCNN
2000
IEEE
13 years 8 months ago
Sensitivity Analysis for Conic Section Function Neural Networks
Sensitivity analysis is a method for extracting the cause and effect relationship between the inputs and outputs of the network. After training a neural network, one may want to k...
Lale Özyilmaz, Tülay Yildirim
IJCNN
2000
IEEE
13 years 8 months ago
Fuzzy Clustering Algorithm Extracting Principal Components Independent of Subsidiary Variables
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
Chi-Hyon Oh, Hirokazu Komatsu, Katsuhiro Honda, Hi...
IJCNN
2000
IEEE
13 years 8 months ago
Fog Forecasting Using Self Growing Neural Network 'CombNET-II: ' A Solution for Imbalanced Training Sets Problem
This paper proposes a method to solve problem that comes with imbalanced training sets which is often seen in the practical applications. We modi ed Self Growing Neural Network Co...
Anto Satriyo Nugroho, Susumu Kuroyanagi, Akira Iwa...
IJCNN
2000
IEEE
13 years 8 months ago
A Constraint Learning Algorithm for Blind Source Separation
In Jutten’s blind separation algorithm, symmetrical distribution and statistical independence of the signal sources are assumed. When they are not satisfied, the learning proce...
Kenji Nakayama, Akihiro Hirano, Motoki Nitta