USING LINEAR LEGENDRE WAVELET IN A SYNAPSES NEURAL NETWORK

نویسندگان

چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Time-series prediction using a local linear wavelet neural network

A local linear wavelet neural network (LLWNN) is presented in this paper. The difference of the network with conventional wavelet neural network (WNN) is that the connection weights between the hidden layer and output layer of conventional WNN are replaced by a local linear model. A hybrid training algorithm of particle swarm optimization (PSO) with diversity learning and gradient descent metho...

متن کامل

A Bayesian Local Linear Wavelet Neural Network

In general, wavelet neural networks have a problem on the curse of dimensionality, i.e. the number of hidden units to be required are exponentially rose with increasing an input dimension. To solve the above problem, a wavelet neural network incorporating a local linear model has already been proposed. On their network design, however, the number of hidden units is empirically determined and fi...

متن کامل

Estimation of Reference Evapotranspiration Using Artificial Neural Network Models and the Hybrid Wavelet Neural Network

Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as water resources management. In this research, artificial neural networks, neural network wavelet model, multivariate regression and Hargreaves' empirical method were used to estimate reference evapotranspiration in order to determine the best model in terms of efficienc...

متن کامل

Wavelet Neural Network with Random Wavelet Function Parameters

The training algorithm of Wavelet Neural Networks (WNN) is a bottleneck which impacts on the accuracy of the final WNN model. Several methods have been proposed for training the WNNs. From the perspective of our research, most of these algorithms are iterative and need to adjust all the parameters of WNN. This paper proposes a one-step learning method which changes the weights between hidden la...

متن کامل

A Local Linear Wavelet Neural Network Trained by PSO Algorithm

The paper presents a local linear wavelet neural network. The difference of the network with the original wavelet neural network is that the connection weights between the hidden layer and output layer of the original WNN are replaced by a local linear model. A simple and fast training algorithm, particle swarm optimization (PSO), is also introduced for training the local linear wavelet neural ...

متن کامل

ذخیره 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: Poincare Journal of Analysis and Applications

سال: 2018

ISSN: 2349-6789,2349-6797

DOI: 10.46753/pjaa.2018.v05i02(ii).007