Hopfield neural networkshortest path problemFPGAVHDLRecently the Hopfield Neural Network (HNN) is employed as an optimization tool to solve shortest path problem in communication networks. The hardware implementation of digital Hopfield neural network is an important issue that is considered in this ...
[Hinton]Neural Network for Machine Learning-Main types of neural network network architecture,程序员大本营,技术文章内容聚合第一站。
AI research has been happening far longer than the 1980s work on Hopfield Networks that recently was awarded the Nobel Prize. In fact, it can be traced as far back as the beginnings of the computer science and neuroscience fields, as both disciplines tried to understand how the computations ...
or Hopfield networks, and a trainer capable of training any given network, which includes built-in training tasks/tests like solving an XOR, completing a Distracted Sequence Recall task or an Embedded Reber Grammar test, so you can easily test and compare the performance of different architectures...
This library includes a few built-in architectures like multilayer perceptrons, multilayer long-short term memory networks (LSTM), liquid state machines or Hopfield networks, and a trainer capable of training any given network, which includes built-in training tasks/tests like solving an XOR, ...
off," Suhas Kumar, one of the researchers who carried out the study, told TechXplore. "In 2017,we hypothesized that noisy memristors could be used to construct a Hopfield network, which could be used to solve NP-hard optimization problems instead of their original purpose of associative memory...
A Hopfield-Network-like system of integrate and fire... S Shapero,C Rozell,P Hasler - 《Neural Networks the Official Journal of the International Neural Network Society》 被引量: 28发表: 2013年 Probability density methods for smooth function approximation and learning in populations of tuned ...
The Hopfield network provides a simple model of an associative memory in a neuronal structure. It is, however, based on highly artificial assumptions, espe... W Gerstner,JLV Hemmen - 《Network Computation in Neural Systems》 被引量: 396发表: 1991年 Coupled Noisy Spiking Neurons as Velocity-Con...
A neural network includes an electronic synapse array of multiple digital synapses interconnecting a plurality of digital electronic neurons. Each synapse interconnects an axon of a pre-synaptic neuron with a dendrite of a post-synaptic neuron. Each neuron integrates input spikes and generates a spike...
a人工神经网络常用的有反向传播自适应神经网络、径向基函数网络、ART 网络、Kohonen自组织网络、Hopfield和Elman 回归神经网络。 The artificial neural networks commonly used have the reverse dissemination auto-adapted neural network, the radial direction primary function network, the ART network, Kohonen from th...