Stability of Back Propagation Training Algorithm for Neural Networks
نویسندگان
چکیده
منابع مشابه
A Modiied Back Propagation Algorithm for Neural Network Training
| A variation of the classical Back{Propagation algorithm for neural network training is proposed and convergence is established using the perturbation results of Mangasarian and Solodov 1]. The algorithm is similar to the Successive Overrelaxation (SOR) algorithm for systems of linear equations and linear complementary problems in using the most recently computed values of the weights to updat...
متن کاملAn adaptive training algorithm for back propagation networks
The effect of the coefficients used in the conventional back propagation algorithm on training connectionist models is discussed, using a vowel recognition task in speech processing as an example. Some weaknesses of the use of fixed coefficients are described and an adaptive algorithm using variable coefficients is presented. This is found to be efficient and robust in comparison with the fixed...
متن کاملBack - Propagation Neural Networks for
A back-propagation neural network is applied to a nonlinear self-tuning tracking problem. Traditional self-tuning adaptive control techniques can only deal with linear systems or some special nonlinear systems. The emerging back-propagation neural networks have the capability to learn arbitrary nonlinearity and show great potential for adaptive control applications. A scheme for combining back-...
متن کاملParallel 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 کاملIMPLEMENTATION OF BACK PROPAGATION ALGORITHM ( of neural networks ) IN VHDL
authentic record of my own work carried under the supervision of Mr. SANJAY SHARMA and Mrs. MANU BANSAL at TIET, PATIALA. The matter presented in this thesis has not been submitted in any other University or Institute for the award of Master of Engineering. Signature of the student This is certified that the above statement made by the candidate is correct to the best of my knowledge. ACKNOWLEG...
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: Baghdad Science Journal
سال: 2012
ISSN: 2411-7986,2078-8665
DOI: 10.21123/bsj.9.4.713-719