Ieee transactions on neural networks文章索引

Perceptron-based learning algorithms [0.03%] 基于感知器的学习算法

S I Gallant S I Gallant

A key task for connectionist research is the development and analysis of learning algorithms. An examination is made of several supervised learning algorithms for single-cell and network models. The heart of these algorithms is the pocket a...

IEEE transactions on neural networks. 1990;1(2):179-91. DOI:10.1109/72.80230 1990

Parallel, self-organizing, hierarchical neural networks [0.03%] 并行的、自组织的分层神经网络

O K Ersoy,D Hong O K Ersoy

A new neural-network architecture called the parallel, self-organizing, hierarchical neural network (PSHNN) is presented. The new architecture involves a number of stages in which each stage can be a particular neural network (SNN). At the ...

IEEE transactions on neural networks. 1990;1(2):167-78. DOI:10.1109/72.80229 1990

Trellis codes, receptive fields, and fault tolerant, self-repairing neural networks [0.03%] 栅格码、感受域及容错的自修复神经网络

T Petsche,B W Dickinson T Petsche

Relationships between locally interconnected neural networks that use receptive field representations and trellis or convolutional codes are explored. A fault tolerant neural network is described. It is patterned after the trellis graph des...

IEEE transactions on neural networks. 1990;1(2):154-66. DOI:10.1109/72.80228 1990

A parallel algorithm for tiling problems [0.03%] 用于平面划分问题的并行算法

Y Takefuji,Y C Lee Y Takefuji

A parallel algorithm for tiling with polyominoes is presented. The tiling problem is to pack polyominoes in a finite checkerboard. The algorithm using lxmxn processing elements requires O(1) time, where l is the number of different kinds of...

IEEE transactions on neural networks. 1990;1(1):143-5. DOI:10.1109/72.80215 1990

Neural controller for adaptive movements with unforeseen payloads [0.03%] 自适应搬运未知负载的神经控制器

M Kuperstein,J Wang M Kuperstein

A theory and computer simulation of a neural controller that learns to move and position a link carrying an unforeseen payload accurately are presented. The neural controller learns adaptive dynamic control from its own experience. It does ...

IEEE transactions on neural networks. 1990;1(1):137-42. DOI:10.1109/72.80213 1990

Three-dimensional neural net for learning visuomotor coordination of a robot arm [0.03%] 用于学习机器人手臂视觉运动协调的三维神经网络

T M Martinetz,H J Ritter,K J Schulten T M Martinetz

An extension of T. Kohonen's (1982) self-organizing mapping algorithm together with an error-correction scheme based on the Widrow-Hoff learning rule is applied to develop a learning algorithm for the visuomotor coordination of a simulated ...

IEEE transactions on neural networks. 1990;1(1):131-6. DOI:10.1109/72.80212 1990

ATM communications network control by neural networks [0.03%] 人工神经网络在自动柜员机通信网中的应用研究

A Hiramatsu A Hiramatsu

A learning method that uses neural networks for service quality control in the asynchronous transfer mode (ATM) communications network is described. Because the precise characteristics of the source traffic are not known and the service qua...

IEEE transactions on neural networks. 1990;1(1):122-30. DOI:10.1109/72.80211 1990

Probabilistic neural networks and the polynomial Adaline as complementary techniques for classification [0.03%] 概率神经网络和多项式adaline作为分类的互补技术

D F Specht D F Specht

Two methods for classification based on the Bayes strategy and nonparametric estimators for probability density functions are reviewed. The two methods are named the probabilistic neural network (PNN) and the polynomial Adaline. Both method...

IEEE transactions on neural networks. 1990;1(1):111-21. DOI:10.1109/72.80210 1990

Self-organizing network for optimum supervised learning [0.03%] 一种优化有监督学习的自组织网络

M F Tenorio,W T Lee M F Tenorio

A new algorithm called the self-organizing neural network (SONN) is introduced. Its use is demonstrated in a system identification task. The algorithm constructs a network, chooses the node functions, and adjusts the weights. It is compared...

IEEE transactions on neural networks. 1990;1(1):100-10. DOI:10.1109/72.80209 1990

Variants of self-organizing maps [0.03%] 自组织映射的变体

J A Kangas,T K Kohonen,J T Laaksonen J A Kangas

Self-organizing maps have a bearing on traditional vector quantization. A characteristic that makes them more closely resemble certain biological brain maps, however, is the spatial order of their responses, which is formed in the learning ...

IEEE transactions on neural networks. 1990;1(1):93-9. DOI:10.1109/72.80208 1990