An Improved Modeling of Nonlinear Circuits based on Elman Neural Network
نویسندگان
چکیده
منابع مشابه
Numerical Analysis of Modeling Based on Improved Elman Neural Network
A modeling based on the improved Elman neural network (IENN) is proposed to analyze the nonlinear circuits with the memory effect. The hidden layer neurons are activated by a group of Chebyshev orthogonal basis functions instead of sigmoid functions in this model. The error curves of the sum of squared error (SSE) varying with the number of hidden neurons and the iteration step are studied to d...
متن کاملAn Improved Elman Neural Network for Daily Living Activities Recognition
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...
متن کاملscour modeling piles of kambuzia industrial city bridge using hec-ras and artificial neural network
today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...
PID Control of VAV System based on Elman Neural Network
As the air-conditioning control system has the nonlinearity, large time delay and time variation and other characteristics.In this paper,we put forward a method of self-adjusting PID algorithm based on the modified Elman neural network, and the output of the network adjust the three parameters of the PID controller online, so that it has the high controlling precision, good dynamic characterist...
متن کاملThe Short-term Predicting Method of Algal Blooms Based on Libsvm and Elman Neural Network Modeling
After the major reasons of water bloom were analyzed, using the rough set theory and principal component analysis respectively to identify the main factors affecting the forecast algal blooms. On this basis, to take advantage of the Libsvm water bloom prediction model and Elman water bloom prediction model for the shortterm prediction of algal blooms phenomenon respectively. Obtained through th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Applied Mathematics & Information Sciences
سال: 2014
ISSN: 1935-0090,2325-0399
DOI: 10.12785/amis/080424