Small-world neural network
WebA Cellular Neural Network (CNN) is a neural network model linked only to neighborhoods and which is suitable for image processing, such as noise reduction and edge detection. A … WebA method, a system, and a computer program product for fast training and/or execution of neural networks. A description of a neural network architecture is received. Based on the received description, a graph representation of the neural network architecture is generated. The graph representation includes one or more nodes connected by one or more …
Small-world neural network
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WebAug 1, 2024 · A small-world neural network has stronger generalization ability with high transfer efficiency than that of the regular neural networks. This paper presents two … WebSep 6, 2024 · The bionic small-world neural network structure has inspired various application scenarios. However, in previous studies, the long-range wirings in the small-world network have been found to cause network instability. In this study, we investigate the influence of neural network training on the small-world topology.
Small-world networks tend to contain cliques, and near-cliques, meaning sub-networks which have connections between almost any two nodes within them. This follows from the defining property of a high clustering coefficient. Secondly, most pairs of nodes will be connected by at least one short path. This … See more A small-world network is a mathematical graph in which most nodes are not neighbors of one another, but the neighbors of any given node are likely to be neighbors of each other. Due to this, most neighboring … See more Small-world properties are found in many real-world phenomena, including websites with navigation menus, food webs, electric power grids, metabolite processing networks, networks of brain neurons, voter networks, telephone call graphs, and airport networks. … See more It is hypothesized by some researchers, such as Barabási, that the prevalence of small world networks in biological systems may reflect … See more Applications to sociology The advantages to small world networking for social movement groups are their resistance to change due to the filtering apparatus of using … See more In another example, the famous theory of "six degrees of separation" between people tacitly presumes that the domain of discourse is the set of people alive at any one time. The number of degrees of separation between Albert Einstein and Alexander the Great is … See more The main mechanism to construct small-world networks is the Watts–Strogatz mechanism. Small-world networks can also be introduced with time-delay, which will not only produce fractals but also chaos under the right conditions, … See more • Barabási–Albert model – algorithm for generating random networks • Climate as complex networks – Conceptual model to generate insight into climate science • Dual-phase evolution – Process that drives self-organization within complex adaptive systems See more WebAug 1, 2024 · This paper presents two novel small-world neural networks, the Watts-Strogatz small-world based on a BP neural network (WSBP) and a Newman-Watts small-world neural network based on a BP neural network (NWBP), related to previous research of complex networks.
WebMay 10, 2024 · Neural networks are the core software of deep learning. Even though they’re so widespread, however, they’re really poorly understood. Researchers have observed their emergent properties without... WebWatts and Strogatz [34] observed that real-world com-plex networks, e.g., the anatomical connections in the brain and the neural network of animals, cannot be modeled us-ing the …
WebSep 12, 2016 · Then, the dynamics of two coupled maps that model the behavior of two electrically coupled neurons is discussed. By tuning the coupling strength, synchronization of two spiking or bursting neurons are simulated. Furthermore, the spatiotemporal behavior of a small-world neuronal network using map-based model is studied.
WebFeb 25, 2016 · To quantify the extent to which a network displays small-world structure, we define the Small-World Propensity, ϕ, to reflect the deviation of a network’s clustering coefficient, Cobs, and... diabetic eye exams west hollywoodWebNov 1, 2024 · Small-world spiking neural network with anti-interference ability based on speech recognition under interference Related work. Research on the robustness of ANNs has been consistently popular. Robustness of a network includes two... Construction of an SWSNN. In this section, we present the process ... cindy rottWebSmall-world neural networks, as well as diluted Hopfield networks, are constructed by using matrix decomposition and a connection elimination strategy. It is shown that, to a certain … diabetic eye exam refractionWebJan 23, 2024 · Autoencoders (AEs) are artificial neural networks used to learn efficient data encoding in an unsupervised manner. They push data through the layers of the neural network, and the layer with the smallest number of neurons—the latent space—can be of smaller dimensionality than the input data. diabetic eye exam without insuranceWebOct 1, 2024 · Small-world network is an intermediate model between regular and random networks. It is defined as a complex network structure which is highly clustered as the … diabetic eye exam vs regular eye examWebApr 9, 2024 · Our small-world models, called SWNets, provide several intriguing benefits: they facilitate data (gradient) flow within the network, enable feature-map reuse by adding … cindy rousseauWebJan 1, 2024 · An excitatory small-world network of subthreshold neurons is considered.Effect of spike-timing-dependent plasticity on spike synchronization is investigated.Both the additive and the multiplicative case are considered.A Matthew effect in synaptic plasticity is found to occur.Emergence of potentiation and depression is … cindy roubinek pine city mn