Titlebook: Statistical Field Theory for Neural Networks; Moritz Helias,David Dahmen Book 2020 Springer Nature Switzerland AG 2020 Statistical physics

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Dynamic Mean-Field Theory for Random Networks,il today. Many subsequent studies have built on top of this work. The presentation in the original work summarizes the main steps of the derivations and the most important results. In this chapter we show the formal calculations that reproduce these results. After communication with Crisanti we coul

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Expansion of Cumulants into Tree Diagrams of Vertex Functions,ll show that there is a simple set of graphical rules that connect the Feynman diagrams that contribute to derivatives of the effective action Γ, the vertex functions, and the derivatives of the cumulant-generating function ., the cumulants. These relations are fundamental to many methods in field t

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Loopwise Expansion of the Effective Action,tional to a small factor ., this factor is a natural parameter to organize the perturbation series. In many cases this is not the case and other arrangements of the perturbation series may have better convergence properties. We will here study one such reorganization. This organization of the diagra

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Kay Dreyfusranty data analysis.Includes supplementary material: .Warranty Data Collection and Analysis. deals with warranty data collection and analysis and the problems associated with these activities. The book is a both a research monograph and a handbook for practitioners. As a research monograph, it unifi

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Mimicry in Psychological Disorders and Psychotherapy,logical disorders. An interesting hypothesis is that mimicry behavior of people with psychological disorders is different compared to people who are not suffering from a psychological disorder, and that this contributes to their problems in social interactions which in turn may worsen symptomatology

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Development of a Index for Sustainable Energy Technologies Based on an Intelligent Fuzzy Expert Syst environmental sustainability are in many cases affected by uncertainty. Fuzzy-sets have evidenced to be able to deal very well with uncertainty. In this paper an index based on an intelligent fuzzy inference system is proposed to assess the impact on the environment of the most important electricit

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