scholarly journals DEVANAGARI HANDWRITTEN WORD RECOGNITION USING EFFICIENT AND FAST FEED FORWARD NEURAL NETWORK CLASSIFIER.

2016 ◽  
Vol 4 (10) ◽  
pp. 2034-2043
Author(s):  
Saniya ansari ◽  
◽  
Dr.Bhavani S ◽  
Dr.Udaysingh Sutar ◽  
◽  
...  
Keyword(s):  
Neural Network ◽  
Word Recognition ◽  
Neural Network Classifier ◽  
Feed Forward Neural Network ◽  
Feed Forward ◽  
Handwritten Word Recognition

SEGMENTATION VERSUS NON-SEGMENTATION BASED NEURAL TECHNIQUES FOR CURSIVE WORD RECOGNITION: AN EXPERIMENTAL ANALYSIS

2002 ◽  
Vol 02 (04) ◽  
pp. 377-384 ◽  
Author(s):  
XIAOLONG FAN ◽  
BRIJESH VERMA
Keyword(s):  
Neural Network ◽  
Word Recognition ◽  
Recognition Rate ◽  
Neural Network Classifier ◽  
Extraction Techniques ◽  
Chain Code ◽  
Benchmark Database ◽  
Fair Comparison ◽  
Word Classes ◽  
Handwritten Word Recognition

This paper presents a comparative analysis of segmentation and non-segmentation based techniques for cursive handwritten word recognition. In our segmentation based technique, every word is segmented into characters, the chain code features are extracted from segmented characters, the features are fed to neural network classifier and finally the words are constructed using a string compare algorithm. In our non-segmentation based technique, the chain code features are extracted directly from words and the words are fed to a neural network classifier to classify them into word classes. To make a fair comparison, a CEDAR benchmark database is used, and the parameters such as the number of words, thresholding, resizing, feature extraction techniques, etc. are kept same for both the techniques. The experimental results and analysis show that the non-segmentation technique achieves higher recognition rate than the segmentation based technique.

scholarly journals A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ

2021 ◽  
Vol 118 ◽  
pp. 103766
Author(s):  
Ahmed J. Aljaaf ◽  
Thakir M. Mohsin ◽  
Dhiya Al-Jumeily ◽  
Mohamed Alloghani
Keyword(s):  
Neural Network ◽  
Data Science ◽  
Feed Forward Neural Network ◽  
Feed Forward

scholarly journals Determination of rheological properties of bio-asphalt binders through experimental and multilayer feed-forward neural network methods

2021 ◽  
Author(s):  
Abdulnaser M Al-Sabaeei ◽  
Madzlan B Napiah ◽  
Muslich H Sutanto ◽  
Suzielah Rahmad ◽  
Nur Izzi Md Yusoff ◽  
...  
Keyword(s):  
Neural Network ◽  
Rheological Properties ◽  
Asphalt Binders ◽  
Feed Forward Neural Network ◽  
Feed Forward ◽  
Network Methods
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