نتایج جستجو برای: back propagation algorithm

تعداد نتایج: 984050  

2013
Vanitha Devi Poonam Singh

In the last few years a lot of research has been carried out in the field of deliverance of information for improving its efficiency and reliability. However, the systematic analysis and verification of channel performance triggered wide interest of new researchers. The popular technique for transmission of signals over wireless channels was orthogonal frequency division multiplexing (OFDM). In...

2001
Jérome Fournier Matthieu Cord Sylvie Philipp-Foliguet

Content-based image retrieval (CBIR) usually relies on pre-attentive similarities. Results are often coarse because of the gap between the pre-attentive level and the semantic level of the user’s request. The aim of relevance feedback is to refine results by taking user’s expertise into account. This paper presents a new feedback architecture for CBIR. Images are compared through a weighted dis...

2016
Medha Patel Devarshi Mehta Patrick Patterson Rakesh Rawal

Most frequently occurring recurrent chromosomal translocation allied with all subtype of leukemia are available in Mitel Mann Data base. We have retrieved about 55 such genome sequence from TIC dB data base with 100% similarity score and got noncoding sequence of chromosome 9 and 22 as positive example of fragile site. Another 55 housekeeping genome sequence is taken for classification purpose....

Journal: :IEEE transactions on neural networks 1994
V. V. Phansalkar P. S. Sastry

In this letter, the back-propagation algorithm with the momentum term is analyzed. It is shown that all local minima of the sum of least squares error are stable. Other equilibrium points are unstable.

2014
Neelima Rajput

In this paper, the artificial neural networks are implemented to accomplish the English alphabet speech recognition. The design an accurate and effective speech recognition system is a challenging task in the area of speech recognition. We implemented a new data classification method, where we use neural networks, which are trained and performance can be defined on the basis of recognition rate...

1988
Yves Chauvin

This paper presents a variation of the back-propagation algorithm that makes optimal use of a network hidden units by decr~asing an "energy" term written as a function of the squared activations of these hidden units. The algorithm can automatically find optimal or nearly optimal architectures necessary to solve known Boolean functions, facilitate the interpretation of the activation of the rem...

A. Bolandgerami B. Asmar F. Nazari M. Karimi,

Crack identification is a very important issue in mechanical systems, because it is a damage that if develops may cause catastrophic failure. In the first part of this research, modal analysis of a multi-cracked variable cross-section beam is done using finite element method. Then, the obtained results are validated usingthe results of experimental modal analysis tests. In the next part, a nove...

2010
Amit Goyal

A neural network is a powerful data-modeling tool that is able to capture and represent complex input/output relationships. The motivation for the development of neural network technology stemmed from the desire to develop an artificial system that could perform “intelligent” tasks similar to those performed by the human brain. An Artificial neural network (ANN), also called a simulated neural ...

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