Search Results - back ((function algorithm) OR (detection algorithm))

Automatic detection of voice disorders using self loop architecture in back propagation network by Murugesa Pandiyan, Paulraj, Prof. Madya Dr, Sazali, Yaacob, Prof. Dr., Sivanandam, S. N., Muthusamy, Hariharan, Dr.

Get full text

Wood texture detection with conjugate gradient neural network algorithm by Widyarto, Setyawan, Suryasa, I. Nyoman, Khairul Annuar, Abdullah, Fajarianto, Otto, Mohd Shafry, Mohd Rahim, Priyandoko, Gigih, Budaya, Gilang Anggit

“…The experiments are based on artificial neural network (ANN) algorithm that used back propagation and conjugate gradient method of training function in the process of identification. …”
Get full text
Get full text
Get full text

Early tube leak detection system for steam boiler at KEV power plant by Ismail F.B., Singh D., Maisurah N., Musa A.B.B.

“…Backpropagation; Coal; Coal fired boilers; Engineering research; Engines; Fault detection; Fossil fuel power plants; Leak detection; Neural networks; Plant shutdowns; Steam power plants; Artificial neural network models; Coal-fired power plant; Feed-forward back propagation networks; Hidden layers; Neural network (nn); Training algorithms; Training function; Working properties; Boilers…”

Design and implementation of multimedia digital matrix system by Chui, Yew Leong, Ramli, Abdul Rahman, Perumal, Thinagaran, Sulaiman, Mohd Yusof, Ali, Mohd Liakot

“…Due to the issues of signal integrity in high-speed digital design, a new adaptive channel synchronization algorithm has been developed. The algorithm, named as hybrid-reset algorithm utilizes the nature of asynchronous reset to compensate the drawback of synchronous counter for phase detection. …”
Get full text
Get full text

Human odour detection approach using machine learning by Ahmed Qusay Sabri

“…The unsurpassed framework for learning algorithm to be used for human identification is Levenberg-Marquardt backpropagation learning algorithm. …”
Get full text
Get full text
Get full text

Integrated geophysical, hydrogeochemical and artificial intelligence techniques for groundwater study in the Langat Basin, Malaysia / Mahmoud Khaki by Mahmoud, Khaki

“…Furthermore, four common training functions; Gradient descent with momentum and adaptive learning rate back propagation, Levenberg-Marquardt algorithm, Resilient back propagation, Scaled conjugate gradient were compared for the modelling of groundwater level. …”
Get full text
Get full text

Diagnosis of vocal fold pathology using time-domain features and systole activated neural network by Paulraj, Murugesa Pandiyan, Prof. Madya, Sazali, Yaacob, Prof. Dr., Hariharan, M.

Get full text

Back Propagation Algorithm-Based Intelligent Model for Botnet Detection by Nik Quosthoni, Sunaidi, Ahmed, Abdulghani Ali

Get full text
Get full text
Get full text

The tuning of error signal for back-propagation algorithms by Rengasamy, Renugah

“…This new algorithm is proven to be a better algorithm. The main purpose of this study is to evaluate the efficiency of improved two-term error function by applying three different values of ß parameter in the activation function. …”
Get full text
Get full text
Get full text

A preliminary study on automated freshwater algae recognition and classification system / Hayat Mansoor Abdullah by Mansoor Abdullah, Hayat

“…Then, Image segmentation applied by using canny edge detection algorithm with specific morphological operation to isolate the image objects components. …”
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

The effect of adaptive parameters on the performance of back propagation by Abdul Hamid, Norhamreeza

“…The results show that the proposed algorithm extensively improves the learning process of conventional Back Propagation algorithm.…”
Get full text
Get full text
Get full text
Get full text

Passive forward scatter radar based on LTE signal for vehicle detection and classification by Abdul Aziz, Noor Hafizah

“…This thesis clarifies in details the LTE based passive forward scatter radar receiver circuit, the detection scheme and the classification algorithm. …”
Get full text
Get full text

An effective source number enumeration approach based on SEMD by Ge, Shengguo, Mohd Rum, Siti Nurulain, Ibrahim, Hamidah, Marsilah, Erzam, Perumal, Thinagaran

“…Experiment shows that SEMD can effectively restrain the end effect, and the source number enumeration algorithm based on SEMD has a higher correct detection probability than others.…”
Get full text
Get full text

Efficient back-off mechanism for multimedia support in IEEE 802.11E by Al-Nuaimi, Aws Ali Shakir

“…The current research proposes a new algorithm so-called Dynamic Fast Adaptation of back-off algorithm for contention-based EDCA (DFA-EDCA) mechanism. …”
Get full text
Get full text

Artificial neural network for spam filtering :classification and analysis of spam and non-spam using multi-layer perceptron through back-propagation learning algorithm and radial basis function network by Gan, Swat Ngo

Get full text
Get full text

Discrimination of pathological voices using systole activated neural network by Murugesa Pandiyan, Paulraj, Prof. Madya Dr, Sazali, Yaacob, Prof. Dr., Hariharan, Muthusamy, Dr.

Subjects: Get full text

The development of extra axial brain tumor detection prototype using back propagation based neural network / Suriyanti Panagen by Panagen, Suriyanti

“…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. …”
Get full text
Get full text

Dynamic training rate for backpropagation learning algorithm by Al-Duais, M. S., Yaakub, Abdul Razak, Yusoff, Nooraini

“…In this paper, we created a dynamic function training rate for the Back propagation learning algorithm to avoid the local minimum and to speed up training.The Back propagation with dynamic training rate (BPDR) algorithm uses the sigmoid function.The 2-dimensional XOR problem and iris data were used as benchmarks to test the effects of the dynamic training rate formulated in this paper.The results of these experiments demonstrate that the BPDR algorithm is advantageous with regards to both generalization performance and training speed. …”
Get full text
Get full text
Get full text

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

“…Therefore, the proposed ELM model can be considered as an alternative algorithm to apply for early detection of Dengue disease.…”
Get full text
Get full text