The Vapnik Chervonenkis dimension of Elman networks is innnite. Here, we nd constructions leading to lower bounds for the fat shattering dimension that are linear resp. of order log 2 in the input length even in the case of limited weights and inputs. Since niteness of this magnitude is equivalent to learnability, there is no a priori guarantee for the generalization capability of Elman networks.

ارتقای بازدارندگی دفاعی مستلزم تولید گسترده و متنوع محصولات تجهیزات نظامی است که نیازمند به‌کارگیری ظرفیت‌ها قابلیت‌های وسیع صنعتی است. ازآنجاکه تصدی تملک همه این قابلیت‌ها منطقی اقتصادی نیست، بخشی از فعالیت‌های تولیدی در صنایع دفاعی، برون‌سپاری می­‌شود به ایجاد شبکه بزرگی تأمین‌کنندگان منجر شده گستردگی شبکه، تعاملات همکارانه بهبود عملکرد زنجیره تأمین را یک چالش جدی برای مدیران تبدیل کرده سازما...

Landslide displacement prediction is an important part of monitoring and early warning systems. Effective instrumental in reducing the risk landslide disasters. This paper proposes a model based on variational mode decomposition genetic algorithm optimization Elman neural network (VMD–GA–Elman). First, using VMD, sequence decomposed into three subsequences trend term, periodic random term. Then...

One of the main issues regarding the monitoring of persons in a smart home environment is the accuracy of the daily control of the person, the health prevention and the timely prediction of abnormal situations. To tackle this problem, this work proposes the use of an improved version of the Elman Neural Network (Elman-NN). In order to minimize the error between inputs and desired outputs, we op...

This paper presents a new recurrent neural network (RNN) structure called ENEM for dynamic system identification. ENEM structure is based on Elman network and NARX neural network. In order to show the performance of ENEM for system identification, the results were also compared to the results of Elman network, Jordan network and their modified models. The identification results of linear and no...

Although returns distributions are complex, they can’t avoid manipulation in any form. We propose a new methodology, the Intelligent Portfolio Selection & Optimisation System – IPSOS that takes into account hidden information within the extended accounting data and financial statements, among other values incorporates them on a new Jordan Elman hybrid network to provide safer financial evaluati...