C S Leung,L W Chan
C S Leung
In the transmission of vector quantized data, the vector quantizer and the communication system are usually designed separately. With such an approach, the channel noise results in significant degradations in the performance of the vector q...
Rotation-invariant neural pattern recognition system estimating a rotation angle [0.03%]
旋转不变神经图案识别系统估计旋转角度
M Fukumi,S Omatu,Y Nishikawa
M Fukumi
A rotation-invariant neural pattern recognition system, which can recognize a rotated pattern and estimate its rotation angle, is considered. It is well-known that humans sometimes recognize a rotated form by means of mental rotation. The o...
G Lightbody,G W Irwin
G Lightbody
This paper investigates in detail the possible application of neural networks to the modeling and adaptive control of nonlinear systems. Nonlinear neural-network-based plant modeling is first discussed, based on the approximation capabiliti...
M Stevenson
M Stevenson
The effect of limited-precision weights on the functional capability of a threshold Adaline is examined. The number of logic functions which can be implemented by the threshold Adaline serves as the primary measure of functional capability....
Implementations of artificial neural networks using current-mode pulse width modulation technique [0.03%]
基于电流模式脉宽调制技术的人工神经网络实现方法研究
E I El-Masry,H K Yang,M A Yakout
E I El-Masry
The use of a current-mode pulse width modulation (CM-PWM) technique to implement analog artificial neural networks (ANNs) is presented. This technique can be used to efficiently implement the weighted summation operation (WSO) that are requ...
G Castellano,A M Fanelli,M Pelillo
G Castellano
The problem of determining the proper size of an artificial neural network is recognized to be crucial, especially for its practical implications in such important issues as learning and generalization. One popular approach for tackling thi...
A methodology for constructing fuzzy algorithms for learning vector quantization [0.03%]
一种用于构建模糊学习矢量量化算法的方法学
N B Karayiannis
N B Karayiannis
This paper presents a general methodology for the development of fuzzy algorithms for learning vector quantization (FALVQ). The design of specific FALVQ algorithms according to existing approaches reduces to the selection of the membership ...
J Karhunen,E Oja,L Wang et al.
J Karhunen et al.
Independent component analysis (ICA) is a recently developed, useful extension of standard principal component analysis (PCA). The ICA model is utilized mainly in blind separation of unknown source signals from their linear mixtures. In thi...
K S Narendra,S Mukhopadhyay
K S Narendra
The NARMA model is an exact representation of the input-output behavior of finite-dimensional nonlinear discrete-time dynamical systems in a neighborhood of the equilibrium state. However, it is not convenient for purposes of adaptive contr...
Acquiring rule sets as a product of learning in a logical neural architecture [0.03%]
逻辑神经网络中学习的产物：规则获取
M J Healy,T P Caudell
M J Healy
Envisioning neural networks as systems that learn rules calls forth the verification issues already being studied in knowledge-based systems engineering, and complicates these with neural-network concepts such as nonlinear dynamics and dist...