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Now showing items 21-25 of 25
Dissipativity Analysis of a Class of Competitive Neural Networks with Proportional Delays
(
Springer Verlag
, 2019 , Conference Paper)
This paper dealt with the dissipativity problem for a class of competitive neural networks with proportional delays. Based on Lyapunov functionals approach, new sufficient conditions are derived to ensuring the strictly ...
Credit default swap pricing using artificial neural networks
(2010 , Conference Paper)
The credit derivatives market has experienced unprecedented growth over the past few years. As such, there is a growing interest in tools for pricing the most prominent credit derivative, the credit default swap. In this ...
Identifying crack parameters in slow rotating machinery using vibration measurements and hybrid neuro-particle swarm technique
(2010 , Conference Paper)
Low-cycle fatigue-initiated cracks may result in failure in slow-rotating equipments. Online monitoring to identify such fault/crack parameters, namely crack size and crack location, would be critical in providing an early ...
A neural network algorithm for hardware-software verification
(
IEEE
, 2003 , Conference Paper)
Formal verification is the task of proving that a property holds for a model of a design. This paper examines the idea of a Neural Network-based algorithm used to find the set of states that makes a specification valid. ...
Reveal the hidden layer via entity embedding in traffic prediction
(
Elsevier B.V.
, 2019 , Conference Paper)
The neural network-based models have been widely used in traffic prediction. They have improved accuracy and efficiency in traffic flow, speed, passenger flow, and delay. Many variables are considered to predict traffic ...