Higher-order znn dynamics
Web7 de out. de 2024 · Computer vision methods typically optimize for first-order dynamics (e.g., optical flow). However, in many cases the properties of interest are subtle variations in higher-order changes, such as acceleration. This is true in the cardiac pulse, where the second derivative can be used as an indicator of blood pressure and arterial disease. … Web29-08-2024 Higher-Order ZNN Dynamics. Authors: Predrag S. Stanimirović, Vasilios N. Katsikis, Shuai Li
Higher-order znn dynamics
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Web9 de jul. de 2024 · Bibliographic details on Higher-Order ZNN Dynamics. We would like to express our heartfelt thanks to the many users who have sent us their remarks and … Web23 de mar. de 2024 · Higher-order networks, where a link can connect more than two nodes, have therefore emerged as a new frontier in network science. Since group …
Web10 de abr. de 2024 · In order to reduce the influence of sulfur poisoning, the adsorption energy of S 2− must be reduced. The theoretical results show that all these catalysts exhibit stronger adsorption of S 2− than O 2 , among which ZnN 4 shows the smallest adsorption energy for S 2− as well as the minimum adsorption energy difference between S 2− and …
Web23 de mar. de 2024 · Since group interactions are common in social, biological and technological systems, higher-order networks have recently led to important new discoveries across many fields of research. Here, we review these works, focusing in particular on the novel aspects of the dynamics that emerges on higher-order networks. WebIntroduced ZNN dynamical design is termed as ZNN models of the order p , $$p\ge 2$$ p ≥ 2 , and it is based on the analogy between the proposed continuous-time dynamical …
Web29 de ago. de 2024 · A higher-order zeroing neural network for pseudoinversion of an arbitrary time-varying matrix with applications to mobile object localization T. Simos, V. …
Web12 de mar. de 2024 · In this brief, a new one-step-ahead numerical differentiation rule called six-instant g-cube finite difference (6IgCFD) formula is proposed for the first-order derivative approximation with higher precision than existing finite difference formulas (i.e., Euler and Taylor types). Subsequently, by exploiting the proposed 6IgCFD formula to discretize the … ipr and biodiversityWeb28 de mar. de 2024 · A new type of complex-valued RNNs, called Zhang neural network (ZNN), was proposed in 2001 with the aim to overcome that drawback. ZNN models have been extensively exploited in solving various time … orc 2716Web20 de nov. de 2024 · The essence of ZNN model is to construct a carefully selected error-monitoring function, termed Zhang function (ZF). The ZF can be negative, zero, positive, bounded, or even lower-unbounded. The traditional error-monitoring functions are often some norm-based positive-definite energy functions, which are not so flexible as ZFs. ipr and copyrightWebHigher-order Models in Networks. Jun. 12, 2024. Paris, France. Prof. Nitesh Chawla will contribute a talk on the latest developments of HON, including the improved parameter … orc 2705.02Web4 de jun. de 2015 · In this paper, a new Taylor-type numerical differentiation formula is first presented to discretize the continuous-time Zhang neural network (ZNN), and obtain h … orc 2710.01Web6 de out. de 2010 · In order to obtain the solutions of nonstationary problems, Zhang neural dynamics are designed based on an indefinite error-monitoring function, rather than the … ipr actsWeb1 de abr. de 2024 · Since the discretization of ZNN dynamics leads to the Newton iterative method for solving the matrix inversion and generalized inversion, this study proposes … orc 2731.01