Evolving Resilient Back-Propagation Algorithm for Energy Efficiency Problem

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

the algorithm for solving the inverse numerical range problem

برد عددی ماتریس مربعی a را با w(a) نشان داده و به این صورت تعریف می کنیم w(a)={x8ax:x ?s1} ، که در آن s1 گوی واحد است. در سال 2009، راسل کاردن مساله برد عددی معکوس را به این صورت مطرح کرده است : برای نقطه z?w(a)، بردار x?s1 را به گونه ای می یابیم که z=x*ax، در این پایان نامه ، الگوریتمی برای حل مساله برد عددی معکوس ارانه می دهیم.

15 صفحه اول

Parallel back propagation training algorithm for

| This paper describes several algorithms, mapping the back propagation learning algorithm onto a large 2-D torus architecture. To obtain high speedup, we have suggested an approach to combine the possible parallel aspects (training set parallelism, node parallelism and pipelining of training patterns) of the algorithm. Several algorithms were implemented on a 512 processor Fujitsu AP1000 and c...

متن کامل

Face Recognition Using Eigen faces By ANN with Resilient Back propagation Algorithm

Faces represent complex, multidimensional, meaningful visual stimuli and developing a computational model for face recognition is difficult [1]. In this paper we propose a new approach to detect the human faces quickly and efficiently by using Eigen faces technique along with ANN using resilient back propagation algorithm. In this process the face structure can be converted into Eigen values. T...

متن کامل

The Sarprop Algorithm: a Simulated Annealing Enhancement to Resilient Back Propagation

Back Propagation and its variations are widely used as methods for training artificial neural networks. One such variation, Resilient Back Propagation (RPROP), has proven to be one of the best in terms of speed of convergence. Our SARPROP enhancement, based on Simulated Annealing, is described in this paper and is shown to increase the rate of convergence for some problems. The extension involv...

متن کامل

Improving the Neural Network Training for Face Recognition using Adaptive Learning Rate, Resilient Back Propagation and Conjugate Gradient Algorithm

Face recognition is a method for verifying or identifying a person from a digital image. In this paper an approach for classifying images based on discrete wavelet transform (DWT) and neural network (NN) has been suggested. In the proposed approach, DWT decomposes an image into images with different frequency bands. An NN is a trainable and dynamic system which can acceptably estimate input-out...

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: MATEC Web of Conferences

سال: 2016

ISSN: 2261-236X

DOI: 10.1051/matecconf/20167706016