Search Results - (( developing term bp algorithm ) OR ( java implication based algorithm ))

Particle swarm optimization for neural network learning enhancement by Abdull Hamed, Haza Nuzly

“…Backpropagation (BP) algorithm is widely used to solve many real world problems by using the concept of Multilayer Perceptron (MLP). …”
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CAT CHAOTIC GENETIC ALGORITHM BASED TECHNIQUE AND HARDWARE PROTOTYPE FOR SHORT TERM ELECTRICAL LOAD FORECASTING by ISLAM, BADAR UL ISLAM

“…The solution set (i.e. optimized weight/bias matrix of ANN) provided by the optimized and improved genetic algorithm and modified BP based model is extracted and used in the design and development of a prototype device of the proposed model. …”
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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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Anders Breivik’s manifesto: measuring violence indicator in anti-Islamic extremist discourse by Cabrera Cusi, Mariet Rosnaida, Abdelaziz, Berghout

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Anders Breivik’s manifesto: measuring violence indicator in anti-Islamic extremist discourse by Cabrera Cusi, Mariet Rosnaida, Abdelaziz, Berghout

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Development of wwm system using mlnn-ga for ph prediction of water quality in catchment area by Muhammad Aznil, Ab Aziz

“…However, coverage area of the lake is large and require many WWM Systems to be developed. This method is expensive in terms of budget expenditure. …”
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An Improved Grey Wolf Optimization-based Learning of Artificial Neural Network for Medical Data Classification by Kumar, Narender, Kumar, Dharmender

“…The metaheuristic approaches are better alternative instead of BP. The proposed IMGWO is used to train the ANN to prove its competency in terms of prediction. …”
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MENGKAJI TAHAP KESEDARAN METAKOGNISI PELAJAR TAHUN SATU SAINS KOGNITIF DI UNIMAS by SITI NORAINI, LABU

“…In this study, a malware detection that is based on Deep Learning approach that utilize the Long-Short Term Memory Networks (LSTM) model is utilized. The chosen approach will learn and train itself by using the features that are needed for malware detection using a large data sets for evaluating the trained algorithm. …”
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Flood prediction of Sungai Bedup, Serian, Sarawak, Malaysia using deep learning by Abdulrazak Yahya, Saleh, Roselind, Tei

“…The performance of the algorithm was evaluated based on (Training Error Rate, Testing Error Rate, Loss, Accuracy, Validate Loss and Validate Accuracy) and compared with the Backpropagation Network (BP). …”
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Flood prediction of Sungai Bedup, Serian, Sarawak, Malaysia using deep learning by Roselind, Tei

“…The performance of the developed model is evaluated by comparing them with BP model. …”
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A deep Learning Approach to Malware detection in android platform by Corrine, Francis

“…In this study, a malware detection that is based on Deep Learning approach that utilize the Long-Short Term Memory Networks (LSTM) model in utilized. The chosen approach will learn and train itself by using the features that are needed for malware detection using a large data sets for evaluating the trained algorithm. …”
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Performance Measurement on Deep Spiking Neural Network (DSNN) Algorithm in Flood Prediction Environment by Roselind, Tei

“…There are several algorithms used to predict floods, including LSTM, BP, MLP, SARIMA, and SVM. …”
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Sigmoid PID based adaptive safe experimentation dynamics algorithm of portable duodopa pump for Parkinson’s disease patients by Najwa Hidayah, Abdul Razak Ramesh, Mohd Riduwan, Ghazali, Mohd Ashraf, Ahmad

“…The parameters of SPID controller are tuned using the adaptive safe experimentation dynamics (ASED) algorithm. The efficiency of the suggested SPID-ASED is evaluated by concerning the convergence plot of the cost function, the amount of dopamine in the blood plasma (BP) of the patient, the statistical analysis of cost function, norm of error and norm of input, and time responses specifications. …”
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Sigmoid pid based adaptive safe experimentation dynamics algorithm of portable duodopa pump for parkinson’s disease patients by Razak Ramesh, N. H. A., Ghazali, M. R., Ahmad, M. A.

“…The parameters of SPID controller are tuned using the adaptive safe experimentation dynamics (ASED) algorithm. The efficiency of the suggested SPID-ASED is evaluated by concerning the convergence plot of the cost function, the amount of dopamine in the blood plasma (BP) of the patient, the statistical analysis of cost function, norm of error and norm of input, and time responses specifications. …”
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Advances of metaheuristic algorithms in training neural networks for industrial applications by Chong H.Y., Yap H.J., Tan S.C., Yap K.S., Wong S.Y.

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Operational structural damage identification using de-noised modal feature in machine learning / Chen Shilei by Chen , Shilei

“…Machine learning is also a focus in this work, which was employed to process and classify FRF data in terms of damage. By integrating ISMA, both supervised and unsupervised machine learning algorithms were investigated to develop real-time damage identification schemes. …”
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Effect of input variables selection on energy demand prediction based on intelligent hybrid neural networks by Islam, B., Baharudin, Z., Nallagownden, P.

“…A hybrid approach that combines ANN and an evolutionary optimization technique, genetic algorithm (GA) is used for the development of a short term load forecast (STLF) model. …”
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Internet of wearable things-based on lora and wi-fi healthcare monitoring system for medical applications by Suliman Abdulmalek, Hamood Ahmed

“…The thesis presents the design and development of an Internet of Wearable Things-based on Lora and Wi-Fi Healthcare Monitoring System (IoWT-LWHMS) for medical applications, which includes the development of an IoWT-based healthcare system utilizing wearable sensing units for remotely and conveniently monitoring patients' health conditions such as Blood Pressure (BP), Heart Rate (HR), and Body Temperature (BT) in real-time and development of a LoRa and Wi-Fi networks for IoWT-LWHMS to support short-and long-range connectivity using the FiPy microcontroller with an integrated algorithm for data acquisition and update to the IoT platform. …”
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Electromygraphy (EMG) signal based hand gesture recognition using Artificial Neural Network (ANN) by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

“…The EMG pattern signatures are extracted from the signals for each movement and then ANN utilized to classify the EMG signals based on features. A back-propagation (BP) network with Levenberg-Marquardt training algorithm has been used for the detection of gesture. …”
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