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IJON
2008
156views more  IJON 2008»
15 years 6 months ago
Structural identifiability of generalized constraint neural network models for nonlinear regression
Identifiability becomes an essential requirement for learning machines when the models contain physically interpretable parameters. This paper presents two approaches to examining...
Shuang-Hong Yang, Bao-Gang Hu, Paul-Henry Courn&eg...
KES
2008
Springer
15 years 6 months ago
An Intelligent Traffic Light Control Based on Extension Neural Network
This paper presents an intelligent traffic light control method based on extension neural network (ENN) theory for crossroads. First, the number of passing vehicles and passing tim...
Kuei-Hsiang Chao, Ren-Hao Lee, Meng-Hui Wang
TCS
2008
15 years 6 months ago
Modeling spiking neural networks
A notation for the functional specification of a wide range of neural networks consisting of temporal or non-temporal neurons, is proposed. The notation is primarily a mathematica...
Ioannis D. Zaharakis, Achilles D. Kameas
IVC
2000
182views more  IVC 2000»
15 years 6 months ago
Multithresholding of color and gray-level images through a neural network technique
One of the most frequently used methods in image processing is thresholding. This can be a highly efficient means of aiding the interpretation of images. A new technique suitable ...
Nikos Papamarkos, Charalambos Strouthopoulos, Ioan...
CONNECTION
1998
66views more  CONNECTION 1998»
15 years 6 months ago
The Emergence of a 'Language' in an Evolving Population of Neural Networks
The evolution of language implies the parallel evolution of an ability to respond appropriately to signals (language understanding) and an ability to produce the appropriate signa...
Angelo Cangelosi, Domenico Parisi