Search Results - (( developing knowledge propagation algorithm ) OR ( java implication based algorithm ))

Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu by Sabtu, Melati

“…The project used Back-propagation Neural Network for the algorithm to classified images. …”
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The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen by Panagen, Suriyanti

“…The neural network approach takes the concept of human brain. Knowledge appearance is compulsory for neural network in which it comes under the training phase before it recognize or detecting any pattern.A study about the artificial neural network has been done and back propagation training algorithm is suitable for this system development. …”
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Extreme learning machine model for state-of-charge estimation of lithium-ion battery using gravitational search algorithm by Hossain Lipu M.S., Hannan M.A., Hussain A., Saad M.H., Ayob A., Uddin M.N.

Early detection of dengue disease using extreme learning machine by Suhaeri, Suhaeri, Mohd Nawi, Nazri, Fathurahman, Muhamad

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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Lithium-ion Battery State of Charge Estimation Method Using Optimized Deep Recurrent Neural Network Algorithm by Lipu M.S.H., Hannan M.A., Hussain A., Saad M.H.M., Ayob A., Muttaqi K.M.

Development of Machine Learning Algorithm for Acquiring Machining Data in Turning Process by Ali Al-Assadi, Hayder M. A.

“…The design network is trained by presenting several target machining data that the network must learn according to a learning rule (algorithm). In designing the network, a combination of back propagation or generalized delta learning rule with sigmoid transfer function has been used. …”
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Intelligent inventory forecasting system / Fadzlinor Mustapa by Mustapa, Fadzlinor

“…First, this project will doing a study on the inventory management and gathers all knowledge regarding the inventory. Second, the project with gather all knowledge about artificial neural network method. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level by Hasan Mahmoud Sha'ban Kanaker

Performance Evaluation for Network Set up and Nodes Discovery Protocol in Underwater Grid Topology Networks by Othman, A.K., Wan Zainal Abidin, W.A, Zen, H., Hong Ping, Kismet Anak, Zamhari, N.

“…In this paper the structured grid topology networks is used to compare and evaluate the performances of the algorithms. By the end of node discovery, each node will have the knowledge of nodes identification; number of nodes in the network and direction all other nodes.…”
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QR factorization equalisation scheme for mode devision multiplexing transmission in fibre optics by Abbas, Sharafal-Deen Abdulkadhum

“…This is done by trying to avoid the issues accompanied with the development of the previous algorithms that have been utilized for the same goal. …”
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Artificial intelligence in the construction industry / Nurul Najihah Mad Rosni by Mad Rosni, Nurul Najihah

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Evaluation method of rationality of urban landscape facility design based on neural network by Wang, Fanglong, Zhuang, Qianda, Sun, Xiaoni, Lin, Dengfeng

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Hybridflood algorithms minimizing redundant messages and maximizing efficiency of search in unstructured P2P networks by Barjini, Hassan

“…In fooding a peer initiates the file search operation by broadcasting a query to its neighbors, who continue to propagate it to their neighbors. Flooding has no knowledge about network topology nor files or resources distribution, so it ofers an attractive method for file discovery in dynamic and developing networks. …”
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Estimation of Examinees' Ability Through Computer Adaptive Testing Based on Neural Network Approach by Kazemi, Azam

“…In the second phase, estimation of examinees’ ability has been obtained with multi-layer feed forward neural network with back propagation algorithm. Experiments have been repeated under different scenarios and results indicate the advantages of the proposed scheme by obtaining better accuracy in performance.…”
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Query proof structure caching for incremental evaluation of tabled prolog programs / Taher Muhammad Ali by Taher Muhammad, Ali

“…PROLOG is used for the development of scheduling systems, knowledge systems, expert systems and many other applications. …”
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Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome by Salari, Nader

“…As the core component of the present study, the previous models were improved by introducing a “Developed Feed Forward Back Propagation Neural Network” (DFFBPNN). …”
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