Resolution of suggested model is carried out by continuous Hopfield neural network (CHN). The performance of the technique is supported by the use of the proposed model in data analysis, notably, classification of iris dataset.doi:10.1007/978-3-319-91337-7_12Nour-Eddine Joudar...
EXPONENTIAL STABILITY OF CONTINUOUS BAM NEURAL NETWORK连续型BAM神经网络的指数稳定性神经网络双向联想记忆(BAM指数稳定性In this paper, the continuous bidirectional associative memory(BAM) neural networks can be considered as a special Hopfield network model. A novel exponential stability analysis is presented...
A new method using artificial neural networks for the solution of the unit commitment (UC) and economic dispatch (ED) using Hopfield neural network (HNN) is presented. Discrete and Continuous Hopfield Networks have been used earlier to solve UC and ED problems separately. But these two problems...
Continuous Hopfield Neural Network Continuous Horse Power Continuous Hours of Operation continuous house Continuous Hydrogen Analysis by Pressure Evaluation In Liquids Continuous Hydrothermal Flow Synthesis Continuous Hyperfractionated Accelerated Radiation Therapy ...
展开 关键词: CMOS integrated circuits Hebbian learning Hopfield neural nets VLSI analogue processing circuits content-addressable storage neural chips BAM CMOS double-metal double-polysilicon technology Hopfield networks 会议名称: IEEE International Symposium on Circuits & Systems 会议...
Discrete Dynamics in Nature & SocietyExistence and exponential stability of periodic solution of high-order Hopfield neural network with delays on time scales... Y Li,L Zhao,P Liu - 《Discrete Dynamics in Nature & Society》 被引量: 17发表: 2014年 Self-excitation of neurons leads to multiperi...
Hopfield net generation of trajectories in constrained environment.In this volume. U. Bodenhausen. Learning internal representations of pattern sequences in a neural network with adaptive time-delays. InInternational Joint Conference on Neural NetworksSan Diego, CA, June 1990. IEEE. J. P. ...
In the situation that the development of the computer reached the bottleneck, the novel mathematical model of neural network (NN) are presented in [1] and after long-term twists and turns, one more applicable network model, hopfield neural network (HNN), is formally proposed in [2]. HNN ha...
Zhou, W. Qian, Robust stability for uncertain delayed fuzzy hopfield neural networks with Markovian jumping parameters. IEEE Trans. Syst. Man Cybern. Part B: Cybern. 39(1), 94–102 (2009)CrossRef 14. M. Liu, X. Liu, Y. Shi, S. Wang, T-S fuzzy-model-based \({\fancyscript {H}...
largely studied by many researchers in recent years. the network architecture includes various types of neural networks such as bidirectional associative memory (bam) neural networks, hopfield neural networks, cellular neural networks, cohen–grossberg neural networks, neural and social networks which have...