منابع مشابه
Email Classification Using Back Propagation Technique
This paper proposes a new email classification model using a teaching process of multi-layer neural network to implement back propagation technique. Email has become one of the fastest and most efficient forms of communication. However, the increase of email users with high volume of email messages could lead to un-structured mail boxes, email congestion, email overload, unprioritised email mes...
متن کاملDescending epsilon in back-propagation: a technique for better generalization
Epsilon technique cannot learn from training patterns with a contradiction | i.e. two or more training patterns have identical inputs but dierent outputs. These training patterns are not 100% satisable and the Descending Epsilon technique will not be able to reduce the value of epsilon beyond a limit. Secondly, the Descending Epsilon technique takes more cycles than normal back-propagation sinc...
متن کاملBack Propagation Implementation
The Adaptive Solutions CN APS architecture chip is a general purpose neurocomputer chip. It has 64 processors, each with 4 K bytes of local memory, running at 25 megahertz. It is capable of implementing most current neural network algorithms with on chip learning. This paper discusses the implementation of the Back Propagation algorithm on an array of these chips and shows performance figures f...
متن کاملBayesian Back-Propagation
Connectionist feed-forward networks, t rained with backpropagat ion, can be used both for nonlinear regression and for (discrete one-of-C ) classification. This paper presents approximate Bayesian meth ods to statistical components of back-propagat ion: choosing a cost funct ion and penalty term (interpreted as a form of prior probability), pruning insignifican t weights, est imat ing the uncer...
متن کاملBack-propagation DEA
Data Envelopment Analysis (DEA) is one of the most widely used methods in the measurement efficiency and productivity of Decision Making Units (DMUs). DEA for a large dataset with many inputs/outputs would require huge computer resources in terms of memory and CPU time. This paper introduces a neural network backpropagation Data Envelopment Analysis. Neural network requirements of computer memo...
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: AL-Rafidain Journal of Computer Sciences and Mathematics
سال: 2004
ISSN: 2311-7990
DOI: 10.33899/csmj.2004.164115