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Shanthi, V.
- Techniques in Neural Network Recognition and its Relation to Brain Theory
Abstract Views :162 |
PDF Views:4
Authors
Affiliations
1 SCSVMV University, Kanchipuram, IN
2 Department of MCA, St. Joseph College of Engineering, Chennai, IN
1 SCSVMV University, Kanchipuram, IN
2 Department of MCA, St. Joseph College of Engineering, Chennai, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 4, No 7 (2012), Pagination: 459-465Abstract
This article discusses the concept of Brain Theory, Organization of brain, Techniques behind Artifical Neural Network Recognition and various popular techniques used in Neural network based Patter recognition. The aim of to give idea on Brain theory and its relation and mapping to Artificial Neural Network (ANN) which can guide a Research study on 'Neural networks and Character recognition' to study different techniques used for character recognition and to list the differences between them, the inter-relation between them. Also, I would like to bring out the advantage of each technique with their area of specialization (how easy to use the specified technique for a specific requirement). This will help in easily identify the best suited Handwritten character recognition technique for any requirement (digitizing cheques, palm scripts/manuscripts, extract data from old documents to name a few).Keywords
ANN-Artificial Neural Networks, Neurons-Unit of Brain for Processing Any Operation, ADLINE-Adaptive Linear Elements, Training-Method for Practicing Neural Network, VTA-Ventral Tegmental Area, ART-Adaptive Resonance Theory, PET-Positron Emission Tomography, LVQ-Learning Vector Quantization.
- An Empirical Study and Analysis of Automatic Text Generation Process
Abstract Views :216 |
PDF Views:3
Authors
V. Shanthi
1,
S. Lalitha
2
Affiliations
1 St. Joseph's College of Engineering, Chennai, IN
2 Mother Teresa Univeristy, Kodaikanal, IN
1 St. Joseph's College of Engineering, Chennai, IN
2 Mother Teresa Univeristy, Kodaikanal, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 4, No 4 (2012), Pagination: 198-201Abstract
News article generation is very easy by using lexical chains. The news stories have to be prepared within a very short time. Time plays a prominent role in the production of news story. The information gathered from the places needed to be converted into news stories within a very short time. This preparation of news stories were so far done by the editors with lots of efforts. The artificial intelligence and natural language processing are the effective tools which is s successful in manipulating and creating text messages. JLexNews system generates the efficient and effective article with exact texts. It also identifies the statistical word association and gloss definitions for the creation of lexical chains. This system will be very useful for news article generations.Keywords
Automatic Text Generation, Gloss Definition, Lexical Chains, Statistical Word Association.- Automatic Text Generations Using Lexical Chaining
Abstract Views :196 |
PDF Views:5
Authors
V. Shanthi
1,
S. Lalitha
2
Affiliations
1 St.Joseph's College of Engineering, Old Mahabalipuram Road, Chennai, Tamilnadu, IN
2 Sathyabama University, Old Mahabalipuram Road, Chennai, Tamilnadu, IN
1 St.Joseph's College of Engineering, Old Mahabalipuram Road, Chennai, Tamilnadu, IN
2 Sathyabama University, Old Mahabalipuram Road, Chennai, Tamilnadu, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 3, No 8 (2011), Pagination: 504-508Abstract
Lexical chains are defined as clusters of semantically related words. For the Text Generation the lexical chain are very important and the lexical chains are created using the WordNet database. The aim of this paper is to finds the new relation such as statistical word associations for the lexical chaining process. The statistical word associations represents an additional type of lexical cohesive relationship that is not found in WordNet. The architecture also recognizes the gloss definitions which identifies the relations between two concepts not directly related.Keywords
Lexical Chaining, Extended Wordnet, Statistical Word Association, Gloss Definition.- Volume Estimation and Classification of Ultrasound Placenta Using Neural Network
Abstract Views :188 |
PDF Views:2
Authors
Affiliations
1 Department of Computer Applications, Velammal Engineering College, Affiliated to Anna University, Chennai, IN
2 Department of Computer Applications, St. Joseph College of Engineering, Affiliated to Anna University, Chennai, IN
1 Department of Computer Applications, Velammal Engineering College, Affiliated to Anna University, Chennai, IN
2 Department of Computer Applications, St. Joseph College of Engineering, Affiliated to Anna University, Chennai, IN