A HYBRID CUCKOO SEARCH AND BACK-PROPAGATION ALGORITHMS WITH 
DYNAMIC LEARNING RATE TO SPEED UP THE CONVERGENCE (SUBPL) ALGORITHM

Rasha Majid Hassoon; Safan Abbas

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Publication Date

Wed Oct 21 2015

Journal Name

Integrated Journal Of Engineering Research And Technology

Volume

2

Issue Number

5

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A HYBRID CUCKOO SEARCH AND BACK-PROPAGATION ALGORITHMS WITH DYNAMIC LEARNING RATE TO SPEED UP THE CONVERGENCE (SUBPL) ALGORITHM

Back Propagation

cuckoo search

Neural Network.

Rasha Majid Hassoon

Safan Abbas

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BP algorithm is the most widely used supervised training algorithms for multi-layered feedforward neural net works. However, BP takes long time to converge and quite sensitive to the initial weights of a network. In this paper, a modified cuckoo search algorithm is used to get the optimal set of initial weights that will be used by BP algorithm. And changing the value of BP learning rate to improve the error convergence. The performance of the proposed hybrid algorithm is compared with the stan dard BP using simple data sets. The simulation result show that the proposed algorithm has improved the BP training in terms of quick convergence of the solution depending on the slope of the error graph.

Publication Date

Sat Feb 11 2023

Journal Name

Applied Sciences

A Preliminary Study and Implementing Algorithm Using Finite State Automaton for Remote Identification of Drones

Charalampos

Dimitrios

Izzat

Georgios

Mu’azu Jibrin

Panagiotis

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Electronic remote identification (ER-ID) is a new radio frequency (RF) technology that is initiated by the Federal Aviation Authorities (FAA). For security reasons, traffic control, and so on, ER-ID has been applied for drones by the FAA to enable them to transmit their unique identification and location so that unauthorized drones can be identified. The current limitation of the existing ER-ID algorithms is that the application is limited to the Wi-Fi and Bluetooth wireless controllers, which results in a maximum range of 10–20 m for Bluetooth and 50–100 m for Wi-Fi. In this study, a mathematical computing technique based on finite state automaton (FSA) is introduced to expand the range of the ER-ID RF system and reduce the ene

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Publication Date

Thu Sep 30 2021

Journal Name

Iraqi Journal Of Chemical And Petroleum Engineering

Mathematical Model, Simulation and Scale up of Batch Reactor Used in Oxidative Desulfurization of Kerosene

Mathematical model

Optimal kinetic parameters

Optimal reaction condition

Scale up

Batch reactor

Ghazwan Saleh

Jasim I.

Ahmad A.

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In this paper, a mathematical model for the oxidative desulfurization of kerosene had been developed. The mathematical model and simulation process is a very important process due to it provides a better understanding of a real process. The mathematical model in this study was based on experimental results which were taken from literature to calculate the optimal kinetic parameters where simulation and optimization were conducted using gPROMS software. The optimal kinetic parameters were Activation energy 18.63958 kJ/mol, Pre-exponential factor 2201.34 (wt)^-0.76636. min^-1 and the reaction order 1.76636. These optimal kinetic parameters were used to find the optimal reaction conditions which

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(11)

Publication Date

Thu Aug 07 2025

Journal Name

Journal Of Studies And Researches Of Sport Education

The effect of using the educational bag on the level of learning some offensive skills with the epee weapon

The effect of using the educational bag on the level of learning some offensive skills with the epee weaponDr. Lamia Hassan Al-Diwan

D. Fatima Abdel-Maliki

Dr. Kholoud Laith Abdel Karim2005 Technical and technological development has been increasing day after day and has included all areas of life

including the educational process

which has benefited from technologies such as (computer

video

and pictorial models) in introducing them as tools to aid the learning process. Educational packages have proven their effectiveness in education as they prepare learners with different areas of experience. Sensory audio-visual

through which the learner acquires different educational experiences through interaction

practice

participation

and communication with the data of the surrounding environment through the diversity of knowledge sources that suit his inclinations and needs. The research aimed to prepare an educational bag to teach some offensive skills in the epee weapon. And to find out the effect of using the proposed educational bag on the level of learning some offensive skills in the epee weapon. We hypothesized that the proposed educational package has a positive impact on the level of learning some offensive skills with the epee weapon. There were statistically significant differences in testing the level of learning some offensive skills with the epee weapon between the post-tests of the experimental and control groups

and in favor of the experimental group. The researchers used the experimental method to suit the nature of solving the research problem

and the research sample was chosen intentionally from the girls’ fencing club players (beginners) in the governorate. Basra for the year 2005. The number of players was (16)

which represented the entire study population. The experiment was conducted in the sports hall of the South Oil Sports Club in Basra. We concluded that the educational package has a positive impact on the level of learning some offensive skills in the epee weapon. There were statistically significant differences in the learning level test for some offensive skills in the epee weapon between the experimental group and the control group in the post-tests and in favor of the experimental group. We recommended the necessity of using the proposed educational curriculum to learn some offensive skills in the epee weapon in fencing lessons or in sports clubs. Adopting modern techniques in training

teaching or teaching fencing skills and searching for new methods. Conducting similar studies on other skills or different samples.Keywords: educational bag

offensive skills with an epee weapon

fencing game. Teaching methods. Basra Girl Sports ClubLamya Hassan Aldewan [email protected] of Basra - College of Education and Sports Scienceshttps://orcid.org/0000-0003-0377-6915 Keywords educational bag

offensive skills with an epee weapon

fencing game. Teaching methods. Basra Girl Sports Club

‏Lamyaa

Fatima

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Publication Date

Thu Apr 06 2023

Journal Name

International Journal Of Emerging Technologies In Learning (ijet)

The Impact of a Scenario-Based Learning Model in Mathematics Achievement and Mental Motivation for High School Students

Ban Hassan

Areej Khuder

Sabah Saeed

...Show More Authors

(3)

Publication Date

Sun Nov 01 2020

Journal Name

Journal Of Physics: Conference Series

Improve topic modeling algorithms based on Twitter hashtags

Hayder M.

...Show More Authors

Abstract<p>Today with increase using social media, a lot of researchers have interested in topic extraction from Twitter. Twitter is an unstructured short text and messy that it is critical to find topics from tweets. While topic modeling algorithms such as Latent Semantic Analysis (LSA) and Latent Dirichlet Allocation (LDA) are originally designed to derive topics from large documents such as articles, and books. They are often less efficient when applied to short text content like Twitter. Luckily, Twitter has many features that represent the interaction between users. Tweets have rich user-generated hashtags as keywords. In this paper, we exploit the hashtags feature to improve topics learned</p> ... Show More

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(17)

Publication Date

Sun Oct 01 2023

Journal Name

Indonesian Journal Of Electrical Engineering And Computer Science

Intelligence framework dust forecasting using regression algorithms models

Dataset

Dust forecasting

Machine learning

Mean absolute error

Regression algorithm

Ali Yousif

Muna

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<span>Dust is a common cause of health risks and also a cause of climate change, one of the most threatening problems to humans. In the recent decade, climate change in Iraq, typified by increased droughts and deserts, has generated numerous environmental issues. This study forecasts dust in five central Iraqi districts using machine learning and five regression algorithm supervised learning system framework. It was assessed using an Iraqi meteorological organization and seismology (IMOS) dataset. Simulation results show that the gradient boosting regressor (GBR) has a mean square error of 8.345 and a total accuracy ratio of 91.65%. Moreover, the results show that the decision tree (DT), where the mean square error is 8.965, c

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(3)

Publication Date

Sat Sep 30 2023

Journal Name

Wasit Journal Of Computer And Mathematics Science

Real time handwriting recognition system using CNN algorithms

Maryam

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Abstract— The growing use of digital technologies across various sectors and daily activities has made handwriting recognition a popular research topic. Despite the continued relevance of handwriting, people still require the conversion of handwritten copies into digital versions that can be stored and shared digitally. Handwriting recognition involves the computer's strength to identify and understand legible handwriting input data from various sources, including document, photo-graphs and others. Handwriting recognition pose a complexity challenge due to the diversity in handwriting styles among different individuals especially in real time applications. In this paper, an automatic system was designed to handwriting recognition

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(1)

Publication Date

Wed Oct 12 2022

Journal Name

Axioms

Razy: A String Matching Algorithm for Automatic Analysis of Pathological Reports

Safa S.

Alaa

Abdelaziz A.

Mohamed E.

...Show More Authors

Pathology reports are necessary for specialists to make an appropriate diagnosis of diseases in general and blood diseases in particular. Therefore, specialists check blood cells and other blood details. Thus, to diagnose a disease, specialists must analyze the factors of the patient’s blood and medical history. Generally, doctors have tended to use intelligent agents to help them with CBC analysis. However, these agents need analytical tools to extract the parameters (CBC parameters) employed in the prediction of the development of life-threatening bacteremia and offer prognostic data. Therefore, this paper proposes an enhancement to the Rabin–Karp algorithm and then mixes it with the fuzzy ratio to make this algorithm suitable

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(2)

Publication Date

Sun May 28 2017

Journal Name

Ibn Al-haitham Journal For Pure And Applied Science

On-Line Navigational Problem of a Mobile Robot Using Genetic Algorithm

Wathiq N.

...Show More Authors

Publication Date

Sun Dec 01 2019

Journal Name

Applied Soft Computing

A new evolutionary multi-objective community mining algorithm for signed networks

Bara’a A.

Huda M.

Mustafa N.

Suat

...Show More Authors

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