粘 发表于 2025-3-28 18:03:46
Dynamics of Random Neural Nets,The dynamics of random neural nets has been an open problem for many years. I discuss this problem and describe some linearizations which may lead to a solution. I show how the known results about completely connected nets can be obtained from the linearization.凌辱 发表于 2025-3-28 19:58:36
A Formula of Full Semiinvariants,We prove a new formula for full semiinvariant.DAMN 发表于 2025-3-29 02:06:11
Non-Gibbsian States for Renormalization-Group Transformations and Beyond,We show how non-Gibbsian states arise as a consequence of renormalizing Gibbs states for classical finite-spin lattice systems. We also discuss possible extensions to unbounded or quantum spins and some new problems occurring in these cases.江湖郎中 发表于 2025-3-29 05:20:15
http://reply.papertrans.cn/23/2230/222984/222984_44.png安心地散步 发表于 2025-3-29 10:03:43
Lyapunov Functionals Associated to Automata,We present two automata networks which accepts Lyapunov functional driving its dynamics. One of them is related with image restauration and the other one with the sand-pile model.沉思的鱼 发表于 2025-3-29 13:31:26
Sand-Pile Dynamics in a One-Dimensional Bounded Lattice,We study the transient and steady state phase of the critical dynamics associated to a finite sand-pile. The critical dynamics consists in adding a sand grain to the first site of a stable configuration, and allowing the system to evolve, following a deterministic rule, until a new stable configuration is reached.1FAWN 发表于 2025-3-29 15:46:46
http://reply.papertrans.cn/23/2230/222984/222984_47.png离开就切除 发表于 2025-3-29 20:02:10
http://reply.papertrans.cn/23/2230/222984/222984_48.pngAnterior 发表于 2025-3-30 01:35:41
http://reply.papertrans.cn/23/2230/222984/222984_49.pngFracture 发表于 2025-3-30 04:31:04
https://doi.org/10.1007/978-3-322-82628-2ndom graphs. The evolution of structural properties of suitably defined spaces of random graphs with parameters characterizing the edge density and their impact on the performance of the representative edge weighted graphs as feed-forward neural networks will be studied. The occurrence of phase tran