Ieee transactions on neural networks文章索引

Learning and adaptation in an airborne laser fire controller [0.03%] 机载激光火控系统的学习与适应能力研究

P D Stroud P D Stroud

A simulated battlefield, containing airborne lasers that shoot ballistic missiles down, provides an excellent test-bed for developing adaptive controllers. An airborne laser fire controller, which can adapt the strategy it uses for target s...

IEEE transactions on neural networks. 1997;8(5):1078-89. DOI:10.1109/72.623210 1997

On the use of artificial neural networks for the analysis of survival data [0.03%] 人工神经网络在生存数据中的应用分析

S F Brown,A J Branford,W Moran S F Brown

Artificial neural networks are a powerful tool for analyzing data sets where there are complicated nonlinear interactions between the measured inputs and the quantity to be predicted. We show that the results obtained when neural networks a...

IEEE transactions on neural networks. 1997;8(5):1071-7. DOI:10.1109/72.623209 1997

Time-delay neural networks: representation and induction of finite-state machines [0.03%] 含时滞神经网络：有限状态机的表示和归纳

D S Clouse,C L Giles,B G Horne et al. D S Clouse et al.

In this work, we characterize and contrast the capabilities of the general class of time-delay neural networks (TDNNs) with input delay neural networks (IDNNs), the subclass of TDNNs with delays limited to the inputs. Each class of networks...

IEEE transactions on neural networks. 1997;8(5):1065-70. DOI:10.1109/72.623208 1997

VLSI circuit placement with rectilinear modules using three-layer force-directed self-organizing maps [0.03%] 采用三层力导向自组织映射的矩形模块VLSI电路布局技术

R I Chang,P Y Hsiao R I Chang

In this paper, a three-layer force-directed self-organizing map is designed to resolve the circuit placement problem with arbitrarily shaped rectilinear modules. The proposed neural model with an additional hidden layer can easily model a r...

IEEE transactions on neural networks. 1997;8(5):1049-64. DOI:10.1109/72.623207 1997

Data storage channel equalization using neural networks [0.03%] 基于神经网络的数据存储通道均衡技术研究

S K Nair,J Moon S K Nair

Unlike in many communication channels, the read signals in thin-film magnetic recording channels are corrupted by non-Gaussian, data-dependent noise and nonlinear distortions. In this work we use feedforward neural networks-a multilayer per...

IEEE transactions on neural networks. 1997;8(5):1037-48. DOI:10.1109/72.623206 1997

CGHA for principal component extraction in the complex domain [0.03%] 复数域主元提取的CGHA算法

Y Zhang,Y Ma Y Zhang

Principal component extraction is an efficient statistical tool which is applied to data compression, feature extraction, signal processing, etc. Representative algorithms in the literature can only handle real data. However, in many scenar...

IEEE transactions on neural networks. 1997;8(5):1031-6. DOI:10.1109/72.623205 1997

Diffusion approximation of frequency sensitive competitive learning [0.03%] 频率敏感竞争学习的扩散近似理论分析

A S Galanopoulos,R L Moses,S C Ahalt A S Galanopoulos

The focus of this paper is a convergence study of the frequency sensitive competitive learning (FSCL) algorithm. We approximate the final phase of FSCL learning by a diffusion process described by the Fokker-Plank equation. Sufficient and n...

IEEE transactions on neural networks. 1997;8(5):1026-30. DOI:10.1109/72.623204 1997

Neural network for estimating conditional distributions [0.03%] 用于估计条件分布的神经网络

H Schioler,P Kulczycki H Schioler

Neural networks for estimating conditional distributions and their associated quantiles are investigated in this paper. A basic network structure is developed on the basis of kernel estimation theory, and consistency is proved from a mild s...

IEEE transactions on neural networks. 1997;8(5):1015-25. DOI:10.1109/72.623203 1997

Vector-entropy optimization-based neural-network approach to image reconstruction from projections [0.03%] 基于向量熵优化的神经网络层析图像重建方法

Y Wang,F M Wahl Y Wang

In this paper we propose a multiobjective decision making based neural-network model and algorithm for image reconstruction from projections. This model combines the Hopfield's model and multiobjective decision making approach. We develop a...

IEEE transactions on neural networks. 1997;8(5):1008-14. DOI:10.1109/72.623202 1997

Adaptive critic designs [0.03%] 自适应批评设计方法研究进展综述

D V Prokhorov,D C Wunsch D V Prokhorov

We discuss a variety of adaptive critic designs (ACDs) for neurocontrol. These are suitable for learning in noisy, nonlinear, and nonstationary environments. They have common roots as generalizations of dynamic programming for neural reinfo...

IEEE transactions on neural networks. 1997;8(5):997-1007. DOI:10.1109/72.623201 1997