Numerous models for memristor-based single neuron and its network were proposed by taking memristor as a synaptic weight between the adjacent neurons [22–26] or characterizing the effects of electromagnetic induction and radiation [27–30], which leads to the emergence of more complex dynamical ...
By simplifying connection topology of Hopfield neural network (HNN) with three neurons, a kind of HNN-based nonlinear system is proposed. Taking a coupling... B Bao,H Qian,J Wang,... - 《Nonlinear Dynamics》 被引量: 7发表: 2017年 Dynamics analysis and hardware implementation of multi-scrol...
For the network architecture, the bus-based approach is used to largely reduce the number of connection count. Field-ordered updating algorithm is used in place of the typical random-ordered updating due to its added advantage in finding global minimum. As for the implementation, VLSI language ...
Simple cycles contain rows from one loop only, and the network topology is a feed-forward chain with feedback to one neuron if the loop-vectors in Sigma are cyclic permutations of each other. For special cases this topology simplifies to a ring with only one feedback. Composite cycles ...
A new fractional-order chaos system of Hopfield neural network and its application in image encryption. Chaos Solitons Fractals 2022, 157, 111889. [Google Scholar] [CrossRef] Yu, F.; Shen, H.; Yu, Q.; Kong, X.; Sharma, P.K.; Cai, S. Privacy protection of medical data based on ...
The recurrent dynamics can be used to autoencode or label any new data point with its fixed-point attractor (Figure 2), and these labels are interpreted as the network’s best guesses for latent structure in the samples. 2.1. Unsupervised Clustering A classical problem in data science is to...
This method, which is a significant contribution to the field, extends to spaces of discontinuous functions based on the B-topology, further enhancing its applicability and relevance in the field of applied mathematics. It plays a crucial role in our understanding of the behavior of impulsive ...
Interestingly, the Boltzmann machine and the Hopfield network, if considered to be two cognitive processes (learning and information retrieval), are nothing more than two sides of the same coin. In fact, it is possible to exactly map the one into the other. We will inspect such an ...