Hopfield network

노트

위키데이터

• ID : Q1407668

말뭉치

1. During training of discrete Hopfield network, weights will be updated.
2. A Hopfield network is at first prepared to store various patterns or memories.
3. A Hopfield network is a single-layered and recurrent network in which the neurons are entirely connected, i.e., each neuron is associated with other neurons.
4. {-1,1}N is a pattern that we like to store in the Hopfield network.
5. To build a Hopfield network that recognizes x→, we need to select connection weight W ij accordingly.
6. There are a number of implementation details that were spared here, but a basic, working Hopfield Network is in this Jupyter Notebook I prepared here.
7. Since then, the Hopfield network has been widely used for optimization.
8. There are various different learning rules that can be used to store information in the memory of the Hopfield network.
9. The Network capacity of the Hopfield network model is determined by neuron amounts and connections within a given network.
10. Therefore, the Hopfield network model is shown to confuse one stored item with that of another upon retrieval.
11. So here's the way a Hopfield network would work.
12. The neural network used is the 2D Hopfield network.
13. The Hopfield network is represented as a N l × N r matrix of neurons, where N l is the number of features in the left image and N r the number of features in the right one.
14. In this study, we connect an auxiliary network of neurons, which models the BMI device, to the original Hopfield network and train it to converge to its own auxiliary memory patterns.
15. However, we focus here on a Hopfield associate memory model in order to illustrate the concepts of how an auxiliary network can be trained with the Hopfield network.
16. In this study, we couple a smaller auxiliary network to an injured Hopfield network to improve memory retrieval (Figures 3 and 4).
17. To simulate a damaged brain retrieving memories, we select a memory set, encode it in a Hopfield network, induce network damage, and measure memory retrieval.

메타데이터

위키데이터

• ID : Q1407668

Spacy 패턴 목록

• [{'LOWER': 'hopfield'}, {'LEMMA': 'network'}]