Digit recognition using neural networks by Tan, Chin Luh, Jantan, Adznan

“…Besides this, the paper also proposes an automatic technique for both training and recognition. The use of neural networks for speaker independent isolated word recognition on small vocabularies is studied and an automated system from the training stage to the recognition stage without the need of manual cropping for speech signals is developed to evaluate the performance of the automatic speech recognition (ASR) system. …”
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A Comparison On Neural Network Forecasting. by Ong, Hong Choon, Chan, Shin Yue

“…This study compares the effectiveness of the Box-Jenkins model and neural networks model in making a forecast. An eighteen years bimonthly water consumption in Penang data set is analyzed. …”
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Optimization Methods In Training Neural Networks by Sathasivam, Saratha

“…This is especially true for neural networks, where practical applications can require several hundred to many thousands weights. …”
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Tracking system using neural network by Chong, Chee Moi

“…The neural network can be implemented in the Field Gate Programmable Array (FPGA). …”
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Artificial neural networks in surrogate modeling by Abdullah, Shahrum Shah

“…The Radial Basis Function Neural Network surrogate model used was able to give a good approximation to the optimum controller parameters in this case. …”

Neural network approach of harmonics detection by Zin, A.A.M, Rokonuzzaman, M., Shaibon, H., Lo, K.I.

“…The proposed approach uses the multilayer feed forward neural network to determine the harmonic components in a six-pulse bridge converter. …”
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Classification of fingerprint signatures by neural networks by Abdullah, Khaizuran

Neural network in medical image processing by Abdullah, Azian Azamimi, Shaharum, Syamimi Mardiah, Zakaria, Zulkarnay, Abdul Rahim, Ruzairi

“…Especially methods based on artificial neural networks (ANNs) have attracted more attention. …”

Procedure in developing neural network model by Mat Yamin, Fadhilah, Wan Ishak, Wan Hussain, Othman, Siti Norezam

“…Neural Networks are now widely used in many application domains such as business, engineering, manufacturing, construction and etc.Neural Networks can be used for forecasting and planning, clustering and pattern recognition. …”
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Notes on neural network learning and training by Wan Ishak, Wan Hussain

“…Neural Network (NN) could be define as an interconnected of simple processing element whose functionality is based on the biological neuron.Biological neuron (Figure 1) is a unique piece of equipment that carries information or a bit of knowledge and transfers to other neuron in a chain of networks.Artificial Neuron imitates these functions and their unique process of learning. …”

The potential of neural network in medical application by Wan Ishak, Wan Hussain

Multi-Activation Dendritic Neural Network (MA-DNN) Working Example of Dendritic-Based Artificial Neural Network by Tomov Konstantin, Momcheva Galina

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Breast cancer detection: Shallow convolutional neural network against deep convolutional neural networks based approach by Himanish Shekhar Das, Akalpita Das, Anupal Neog, Saurav Mallik, Saurav Mallik, Saurav Mallik, Kangkana Bora, Zhongming Zhao, Zhongming Zhao

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Comparison of Novel Recurrent Neural Network Over Artificial Neural network in Predicting Email spammers with improved accuracy by Neeharika Chillakuru, Kalaiarasi S.

Subjects: “…artificial neural network…”
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Classification of machine fault using principle component analysis, general regression neural network and probabilistic neural network by Talib, Muhamad Farihin, Nor Azli, Nor Hayati, Othman, Mohd. Fauzi

“…Thus, this paper is to compare the accuracy of bearing, stator and rotor fault classification between General Regression Neural Network (GRNN) and Probabilistic Neural Network (PNN) with the previous work using Principle Component Analysis (PCA). …”

Classification of machine fault using principle component analysis, general regression neural network and probabilistic neural network by Talib, M. F., Othman, M. F., Azli, N. H. N.

“…Thus, this paper is to compare the accuracy of bearing, stator and rotor fault classification between General Regression Neural Network (GRNN) and Probabilistic Neural Network (PNN) with the previous work using Principle Component Analysis (PCA). …”

Detection of human emotions through facial expressions using hybrid convolutional neural network-recurrent neural network algorithm by Haposan Vincentius Manalu, Achmad Pratama Rifai

“…This research aims to develop a hybrid Convolutional Neural Network – Recurrent Neural Network (CNN-RNN) model adept at detecting human emotions derived from facial expressions based on video data. …”
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Improvement of One-Shot-Learning by Integrating a Convolutional Neural Network and an Image Descriptor into a Siamese Neural Network by Jaime Duque Domingo, Roberto Medina Aparicio, Luis Miguel González Rodrigo

“…Finally, one of the most prominent techniques involves using Siamese neural networks. Siamese networks are usually implemented with two convolutional nets that share their weights. …”
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Retracted: Research on Modeling and Dynamic Characteristics of Complex Biological Neural Network Model considering BP Neural Network Method by Advances in Multimedia

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Automatic recognition of Rice Plant leaf diseases detection using deep neural network with improved threshold neural network by K. Mahadevan, A. Punitha, J. Suresh

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