The applications of neural associative memories in image retrieval are studied based on a class of reduced Cohen-Grossberg neural networks and continuous-time Hopfield network. Numerical simulations show that the designed networks can perform as efficient noise-reducing systems....
of finite element and neural network design are studied.The neural network of finite element solving is obtained on the basis of Hopfield neural network that is reformed and avoids using of high-gain transfer function in the circuit.Then the no error solving of finite element neural net ...
On the base of discussion to delivery system of logistics, the problem of optimizing the place of delivery center is come up with, and the theories of Hopfield artificial nerve network are adopted to optimize its transportation routine, at the same time, the decision way of the delivery center...
Hopfield Network Java application for discret Hopfield Networks. Implementation for Artificial Intelligence Requirements Java Virtual Machine v 7.0 (JRE 7) License MIT Unit test @TestpublicvoidHopfieldTest(){double[]p1=newdouble[]{1.0, -1.0,1.0,-1.0,1.0,-1.0,1.0,-1.0,1.0};double[]p2=newdouble...
基本模型,即Hopfield神经网络、多层感知器、自组织神 经网络和概率神经网络 [4] 。本文章涉及的神经网络是多 层感知器。应用该技术进行油气层识别,目前已有成功 的范例。 1神经网络基本原理 多层感知器是最常用的一种神经网络。它由一个 输入层、几个隐含层和一个输出层组成,每个层都由多个 神经元组成,神经元的...
We propose an unsupervised recognition system for single-trial classification of motor imagery (MI) electroencephalogram (EEG) data in this study. Competitive Hopfield neural network (CHNN) clustering is used for the discrimination of left and right MI EEG data posterior to selecting active segment an...
Temporal Complexity of a Hopfield-Type Neural Model in Random and Scale-Free Graphs The Hopfield network model and its generalizations were introduced as a model of associative, or content-addressable, memory. They were widely investigated... M Cafiso,P Paradisi 被引量: 0发表: 2024年 Four-scrol...
Hopfield neural network (HNN) can imitate and study the brain’s information processing capabilities. Currently, with distinctive attributes of nonlinear dynamics and parallel processing capabilities, the HNN has become prevalent in the domains of artificial intelligence and secure communication, such as ...
Hopfield neural networks (HNNs)Space magnetizationMultistability controlPSPICE simulationsBiomedical images encryptionIn this contribution, the problem of multistability control in a simple model of 3D HNNs as well as its application to biomedical image encryption is addressed. The space magnetization is ...
RK Bhati,A Rasool - 《International Journal of Computer Applications》 被引量: 8发表: 2014年 Effective Search with Hopping Chaos for Hopfield Neural Networks Solving QAP Many people propose the method adding chaos noise to Hopfield neural network for solving combinatorial optimization problems. In ou...