Symmetric RBF classifier for nonlinear detection in multiple-antenna-aided systems [0.03%]
基于多天线技术的非线性检测的对称核类器方法研究
Sheng Chen,Andreas Wolfgang,Chris J Harris et al.
Sheng Chen et al.
In this paper, we propose a powerful symmetric radial basis function (RBF) classifier for nonlinear detection in the so-called "overloaded" multiple-antenna-aided communication systems. By exploiting the inherent symmetry property of the op...
Further results on delay-dependent stability criteria of neural networks with time-varying delays [0.03%]
具时变时滞的神经网络的时滞相关稳定判据的进一步研究结果
T Li,L Guo,C Sun et al.
T Li et al.
In this brief paper, an augmented Lyapunov functional, which takes an integral term of state vector into account, is introduced. Owing to the functional, an improved delay-dependent asymptotic stability criterion for delayed neural networks...
L Gonzalez-Abril,C Angulo,F Velasco et al.
L Gonzalez-Abril et al.
During the usual SVM biclassification learning process, the bias is chosen a posteriori as the value halfway between separating hyperplanes. A note on different approaches on the calculation of the bias when SVM is used for multiclassificat...
Adaptive importance sampling to accelerate training of a neural probabilistic language model [0.03%]
自适应重要性采样加速神经概率语言模型训练
Y Bengio,J S Senecal
Y Bengio
Previous work on statistical language modeling has shown that it is possible to train a feedforward neural network to approximate probabilities over sequences of words, resulting in significant error reduction when compared to standard base...
PSECMAC: a novel self-organizing multiresolution associative memory architecture [0.03%]
一种新颖的自组织多分辨率联想存储器架构
S D Teddy,C Quek,E K Lai
S D Teddy
The cerebellum constitutes a vital part of the human brain system that possesses the capability to model highly nonlinear physical dynamics. The cerebellar model articulation controller (CMAC) associative memory network is a computational m...
Output feedback stabilization for time-delay nonlinear interconnected systems using neural networks [0.03%]
基于神经网络的时滞非线性互联系统的输出反馈镇定
C Hua,X Guan
C Hua
In this paper, dynamic output feedback control problem is investigated for a class of nonlinear interconnected systems with time delays. Decentralized observer independent of the time delays is first designed. Then, we employ the bounds inf...
M J Mendenhall,E Merenyi
M J Mendenhall
Hyperspectral imagery affords researchers all discriminating details needed for fine delineation of many material classes. This delineation is essential for scientific research ranging from geologic to environmental impact studies. In a dat...
S Aunet,B Oelmann,P A Norseng et al.
S Aunet et al.
In this paper, a new, real-time reconfigurable perceptron circuit element is presented. A six-transistor version used as a threshold gate, having a fan-in of three, producing adequate outputs for threshold of T =1, 2 and 3 is demonstrated b...
DCT-Yager FNN: a novel Yager-based fuzzy neural network with the discrete clustering technique [0.03%]
基于Yager算子的离散聚类模糊神经网络
A Singh,C Quek,S Y Cho
A Singh
Earlier clustering techniques such as the modified learning vector quantization (MLVQ) and the fuzzy Kohonen partitioning (FKP) techniques have focused on the derivation of a certain set of parameters so as to define the fuzzy sets in terms...
Large-scale maximum margin discriminant analysis using core vector machines [0.03%]
基于核心向量机的大规模最大边界判别分析方法研究
I H Tsang,A Kocsor,J Y Kwok
I H Tsang
Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) was proposed that extends the large-margin idea to feature extraction....