Rough Neuron Based Neural Classifier

2008 ◽  
Author(s):  
Ashwin Kothari ◽  
Avinash Keskar ◽  
Rakesh Chalasani ◽  
Shreesha Srinath
Keyword(s):  
Neural Classifier

scholarly journals Fuzzy Lattice Reasoning for Pattern Classification Using a New Positive Valuation Function

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Yazdan Jamshidi Khezeli ◽  
Hossein Nezamabadi-pour
Keyword(s):  
Pattern Classification ◽  
Fuzzy Artmap ◽  
Lattice Data ◽  
Valuation Function ◽  
Measure Function ◽  
Inclusion Measure ◽  
Domain Extension ◽  
Fuzzy Lattice ◽  
Neural Classifier ◽  
Modified Algorithm

This paper describes an enhancement of fuzzy lattice reasoning (FLR) classifier for pattern classification based on a positive valuation function. Fuzzy lattice reasoning (FLR) was described lately as a lattice data domain extension of fuzzy ARTMAP neural classifier based on a lattice inclusion measure function. In this work, we improve the performance of FLR classifier by defining a new nonlinear positive valuation function. As a consequence, the modified algorithm achieves better classification results. The effectiveness of the modified FLR is demonstrated by examples on several well-known pattern recognition benchmarks.

scholarly journals Early diagnosis of Lung Cancer with Probability of Malignancy Calculation and Automatic Segmentation of Lung CT scan Images

2020 ◽  
Vol 2 (4) ◽  
pp. 175-186
Author(s):  
Dr. Samuel Manoharan ◽  
Sathish
Keyword(s):  
Detection System ◽  
Automatic Segmentation ◽  
Pulmonary Nodules ◽  
Automated Image Analysis ◽  
Computer Aided Detection ◽  
Response Characteristics ◽  
Proposed Model ◽  
Neural Classifier ◽  
Diagnosis Of Lung Cancer ◽  
Lung Ct

Computer aided detection system was developed to identify the pulmonary nodules to diagnose the cancer cells. Main aim of this research enables an automated image analysis and malignancy calculation through data and CPU infrastructure. Our proposed algorithm has improvement filter to enhance the imported images and for nodule selection and neural classifier for false reduction. The proposed model is experimented in both internal and external nodules and the obtained results are shown as response characteristics curves.

A current-mode spiking neural classifier with lumped dendritic nonlinearity

2015 ◽  
Author(s):  
Amitava Banerjee ◽  
Sougata Kar ◽  
Subhrajit Roy ◽  
Aritra Bhaduri ◽  
Arindam Basu
Keyword(s):  
Current Mode ◽  
Neural Classifier ◽  
A Current
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