Gao Daqi, Yang Genxing Influences of variable scales and activation functions on the performances of multilayer feedforward neural networks. [Citation Graph (0, 0)][DBLP] Pattern Recognition, 2003, v:36, n:4, pp:869-878 [Journal]
Gao Daqi, Wu Shouyi An Optimization Method For The Topological Structures Of Feed-Forward Multi-Layer Neural Networks. [Citation Graph (0, 0)][DBLP] Pattern Recognition, 1998, v:31, n:9, pp:1337-1342 [Journal]
Gao Daqi, Ji Yan Classification methodologies of multilayer perceptrons with sigmoid activation functions. [Citation Graph (0, 0)][DBLP] Pattern Recognition, 2005, v:38, n:10, pp:1469-1482 [Journal]
Gao Daqi, Li Chunxia, Yang Yunfan Task decomposition and modular single-hidden-layer perceptron classifiers for multi-class learning problems. [Citation Graph (0, 0)][DBLP] Pattern Recognition, 2007, v:40, n:8, pp:2226-2236 [Journal]
Class-modular multi-layer perceptions, task decomposition and virtually balanced training subsets. [Citation Graph (, )][DBLP]
Support vector machine classifiers using RBF kernels with clustering-based centers and widths. [Citation Graph (, )][DBLP]
Function approximation model ensembles and their application to the simultaneous determination of sample categories and positions. [Citation Graph (, )][DBLP]
Kernel Fisher Discriminants and Kernel Nearest Neighbor Classifiers: A Comparative Study for Large-Scale Learning Problems. [Citation Graph (, )][DBLP]
A Mixed Parallel Perceptron Classifier and Several Application problems. [Citation Graph (, )][DBLP]