The cascade-correlation learning architecture
Advances in neural information processing systems 2
A resource-allocating network for function interpolation
Neural Computation
Global Optimization for Neural Network Training
Computer - Special issue: neural computing: companion issue to Spring 1996 IEEE Computational Science & Engineering
Centroid based Multilayer Perceptron Networks
Neural Processing Letters
Least Squares Support Vector Machine Classifiers
Neural Processing Letters
Determining the number of centroids for CMLP network
Neural Networks
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Square Unit Augmented, Radially Extended, Multilayer Perceptrons
Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop
A novelty detection approach to classification
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Variations of the two-spiral task
Connection Science
Traceability of executable codes using neural networks
ISC'10 Proceedings of the 13th international conference on Information security
Hybrid artificial neural networks: models, algorithms and data
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part II
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A novel multistage feedforward network is proposed for efficient solving of difficult classification tasks. The standard Radial Basis Functions (RBF) architecture is modified in order to alleviate two potential drawbacks, namely the ‘curse of dimensionality’ and the limited discriminatory capacity of the linear output layer. The first goal is accomplished by feeding the hidden layer output to the input of a module performing Principal Component Analysis (PCA). The second one is met by substituting the simple linear combiner in the standard architecture by a Multilayer Perceptron (MLP). Simulation results for the 2-spirals problem and Peterson-Barney vowel classification are reported, showing high classification accuracy using less parameters than existing solutions.