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IJCNN
2000
IEEE
15 years 11 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
ICANN
1997
Springer
15 years 11 months ago
Recurrent Associative Memory Network of Nonlinear Coupled Oscillators
Abstract. The recurrent associative memory networks with complexvalued Hebbian matrices of connections are designed from interacting limitcycle oscillators. These oscillatory netwo...
Margarita Kuzmina, Eduard A. Manykin, Irina Surina
168
Voted
CORR
2011
Springer
139views Education» more  CORR 2011»
15 years 1 months ago
A Science Model Driven Retrieval Prototype
This paper is about a better understanding on the structure and dynamics of science and the usage of these insights for compensating the typical problems that arises in metadata-d...
Philipp Mayr, Philipp Schaer, Peter Mutschke
139
Voted
ICPR
2006
IEEE
16 years 7 months ago
Control Double Inverted Pendulum by Reinforcement Learning with Double CMAC Network
To accelerate the learning of reinforcement learning, many types of function approximation are used to represent state value. However function approximation reduces the accuracy o...
Siwei Luo, Yu Zheng, Ziang Lv
LREC
2010
153views Education» more  LREC 2010»
15 years 8 months ago
Homographic Ideogram Understanding Using Contextual Dynamic Network
Conventional methods for disambiguation problems have been using statistical methods with co-occurrence of words in their contexts. It seems that human-beings assign appropriate w...
Jun Okamoto, Shun Ishizaki