Sciweavers

Share
TNN
2008
100views more  TNN 2008»
8 years 8 months ago
Global Exponential Stability of Bidirectional Associative Memory Neural Networks With Time Delays
Abstract--In this paper, we consider delayed bidirectional associative memory (BAM) neural networks (NNs) with Lipschitz continuous activation functions. By applying Young's i...
Xin-Ge Liu, Ralph R. Martin, Min Wu, Mei-Lan Tang
TNN
2008
95views more  TNN 2008»
8 years 9 months ago
Minimizing the Effect of Process Mismatch in a Neuromorphic System Using Spike-Timing-Dependent Adaptation
Abstract--This paper investigates whether spike-timing-dependent plasticity (STDP) can minimize the effect of mismatch within the context of a depth-from-motion algorithm. To impro...
Katherine Cameron, Alan Murray
TNN
2008
132views more  TNN 2008»
8 years 10 months ago
Just-in-Time Adaptive Classifiers - Part I: Detecting Nonstationary Changes
Abstract--The stationarity requirement for the process generating the data is a common assumption in classifiers' design. When such hypothesis does not hold, e.g., in applicat...
Cesare Alippi, Manuel Roveri
TNN
2008
138views more  TNN 2008»
8 years 10 months ago
A Fast and Scalable Recurrent Neural Network Based on Stochastic Meta Descent
This brief presents an efficient and scalable online learning algorithm for recurrent neural networks (RNNs). The approach is based on the real-time recurrent learning (RTRL) algor...
Zhenzhen Liu, Itamar Elhanany
TNN
2008
102views more  TNN 2008»
8 years 10 months ago
A Class of Complex ICA Algorithms Based on the Kurtosis Cost Function
In this paper, we introduce a novel way of performing real-valued optimization in the complex domain. This framework enables a direct complex optimization technique when the cost f...
Hualiang Li, Tülay Adali
TNN
2008
85views more  TNN 2008»
8 years 10 months ago
Training Spiking Neuronal Networks With Applications in Engineering Tasks
In this paper, spiking neuronal models employing means, variances, and correlations for computation are introduced. We present two approaches in the design of spiking neuronal netw...
Phill Rowcliffe, Jianfeng Feng
TNN
2008
108views more  TNN 2008»
8 years 10 months ago
A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints
This paper presents a novel recurrent neural network for solving nonlinear optimization problems with inequality constraints. Under the condition that the Hessian matrix of the ass...
Youshen Xia, Gang Feng, Jun Wang
TNN
2008
112views more  TNN 2008»
8 years 10 months ago
Multilayer Perceptrons: Approximation Order and Necessary Number of Hidden Units
Abstract--This paper considers the approximation of sufficiently smooth multivariable functions with a multilayer perceptron (MLP). For a given approximation order explicit formula...
S. Trenn
TNN
2008
112views more  TNN 2008»
8 years 10 months ago
Matrix-Variate Factor Analysis and Its Applications
Xianchao Xie, Shuicheng Yan, James T. Kwok, Thomas...
TNN
2008
88views more  TNN 2008»
8 years 10 months ago
A Fault-Tolerant Regularizer for RBF Networks
In classical training methods for node open fault, we need to consider many potential faulty networks. When the multinode fault situation is considered, the space of potential faul...
Chi-Sing Leung, J. P. F. Sum
books