In this paper, the application of multiple Elman neural networks to time series data regression problems is studied. An ensemble of Elman networks is formed by boosting to enhance the performance of the individual networks. A modified version of the AdaBoost algorithm is employed to integrate the predictions from multiple networks. Two benchmark time series data sets, i.e., the Sunspot and Box-...

سیستم حمل‌ونقل ریلی از تعامل مجموعه‌ای تجهیزات و عملیات تشکیل‌ شده است که توانایی ظرفیت یک در بار مسافر را تعیین می‌کند. بدین‌منظور، محاسبة پیش‌بینی نحوة تغییرات آن مهم شناخت آن‌ کمک شایانی به ارتقای سطح بهره‌برداری شبکة روش‌های گوناگونی برای وجود دارد با توجه نوع شبکه شیوة استفاده این روش‌ها، می‌توان آنها بهره گرفت. ظرفیت، توانمندی‌های سیستم‌های اطلاعات مکانی می‌شود تحت وب، وضعیت ظرفیتی عملیات...

Introduction Simple recurrent networks (SRNs) are able to learn and represent lexical classes (Elman, 1990) and grammatical knowledge, such as agreement and argument structure (Elman, 1991), on the basis of co-occurrence regularities embedded in simple and complex sentences. In the present study, we address the question whether SRNs can represent differences in the thematic roles assigned by ve...

The operational life of rotating machines has to be extended using a predictive condition maintenance tool. Among various condition monitoring techniques, vibration analysis is most widely used technique in industry. Signals are extracted for evaluating the condition of machine; further diagnostics is carried out with detected signals to extend the life of machine. With help of detected signals...

In the recent years, the assessment and forecasting of flight performance based on pilot’s multiple physiological parameters has become an important theme of research. However, traditional forecasting and assessment of flight performance is mainly based on the manual assessment or explicit mathematical models, and rarely take the physiological parameters into consideration. Based on the complex...