On µ-Semiregular Module
(1)
Publication Date
Sat Oct 03 2009
Journal Name
Proceeding Of 3rd Scientific Conference Of The College Of Science
Publication Date
Sun May 28 2017
Journal Name
Ibn Al-haitham Journal For Pure And Applied Science
Publication Date
Sat Oct 06 2012
Journal Name
Journal Of Engineering
Publication Date
Mon Oct 01 2012
Journal Name
Journal Of Engineering
Prediction of Smear Effect on the Bearing Capacity of Driven Piles
Driven piles
bearing capacity
smear
soil re-moulding
pile testing.
This paper deals with prediction the effect of soil re-moulding (smear) on the ultimate bearing capacity of driven piles. The proposed method based on detecting the decrease in ultimate bearing capacity of the pile shaft (excluding the share of pile tip) after sliding downward. This was done via conducting an experimental study on three installed R.C piles in a sandy clayey silt soil. The piles were installed so that a gap space is left between its tip and the base of borehole. The piles were tested for ultimate bearing capacity according to ASTM D1143 in three stages. Between each two stages the pile was jacked inside the borehole until a sliding of about 200mm is achieved to simulate the soil re-moulding due to actual pile driving. The re
... Show MorePublication Date
Wed Dec 14 2022
Journal Name
Nasaq Journal
The Effect of Co-text on the Comprehensibility of World Englishes
MR Younus, Nasaq Journal, 2022
Publication Date
Sun Jun 18 2023
Journal Name
International Journal Of Development In Social Sciences And Humanities
A CRITICAL DISCOURSE ANALYSIS OF SELECTED POLITICAL SPEECH ON ONLINE EDUCATION
PDBN Rashid, International Journal of Development in Social Sciences and Humanities, 2023
Publication Date
Fri Sep 30 2016
Journal Name
Australian Journal Of Basic And Applied Sciences
Publication Date
Fri Jan 01 2021
Journal Name
Aip Conference Proceedings
Publication Date
Mon Jun 30 2008
Journal Name
Iraqi Journal Of Science
On the Greedy Ridge Function Neural Networks for Approximation Multidimensional Functions
Feedforward Neural Networks
Backpropagation Algorithm
Greedy ridge function
The aim of this paper is to approximate multidimensional functions f∈C(R^s) by developing a new type of Feedforward neural networks (FFNS) which we called it Greedy ridge function neural networks (GRGFNNS). Also, we introduce a modification to the greedy algorithm which is used to train the greedy ridge function neural networks. An error bound are introduced in Sobolov space. Finally, a comparison was made between the three algorithms (modified greedy algorithm, Backpropagation algorithm and the result in [1]).
Publication Date
Mon Feb 20 2017
Journal Name
Proceedings Of The 5th International Conference On Communications And Broadband Networking