[PDF] Top 20 Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK
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Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK
... biological genetic algorithm metaphor is the development of species by the fittest survival as described by Charles ...of genetic information between two parents in an animal or plant population ... See full document
7
SELECTIVE CONSISTENCY MODEL ON MONGODB BIG DATA STORE
... the neural network has become a powerful tool in the classification of cancer database, and help doctors to select the best treatment; this is done due to its ability to model complex ... See full document
8
MELANOMA SKIN CANCER DETECTION USING IMAGE PROCESSING
... Skin Cancer detection is proposed ...image using feature extraction ...for classification. Artificial neural network classifier is used for ...of classification, the ANN is ... See full document
8
Breast Cancer Classification using Feed Forward Back Propagation Neural Network (BPNN) Classifier
... The Backpropagation neural network is the gemstone that enchanted and mesmerized researchers and showed the true power of neural networks. It opened research doors with endless opportunities in ... See full document
8
Evolving Spiking Neural Network Topologies for Breast Cancer Classification in a Dielectrically Heterogeneous Breast
... [19] algorithm which is tailored to address these particular ...NEAT algorithm incorporates historical markers in the SNN gene which allows genes with common ancestors to be combined as part of the GA’s ... See full document
10
Automatic Classification of Breast masses for Diagnosis of Breast Cancer in Digital Mammograms using Neural Network
... automatic classification of breast masses in digital ...classifier algorithm. In this proposed work, concept of neural network is used for classification, which is applied for ... See full document
6
Artificial Intelligence in Diagnosing Tuberculosis: A Review
... backpropagation algorithm that adjusts the membership function and optimizes fuzzy rule for each ...the Genetic Neuro Fuzzy inferential method for detecting ...Base, Genetic- Neuro-Fuzzy Inference ... See full document
11
Web Text Classification Using Genetic Algorithm and a Dynamic Neural Network Model
... dynamic neural network model is based upon the principle of learning and accumulating knowledge at each layer, propagating and adjusting this knowledge forward to the next layer, and repeating these steps ... See full document
7
Breast Cancer Detection and Classification using Analysis and Gene Back Proportional Neural Network Algorithm
... the breast in three-dimensional ...of breast contour with maximum exactness, less error ...of breast explaining dual symmetry from pictures and using classification approach for ... See full document
6
Shape and Texture Features for the Identification of Breast Cancer
... intelligent breast can- cer identification system based image processing techniques and neural network ...image classification systems for classifying breast tumors using ... See full document
6
Detection and Classification of Wear in Rotary Systems based on ANN and GA
... neuron network (ANN) is a computational model based on the structure and functions of biological neural ...the network affects the structure of the ANN because a neural network changes ... See full document
10
ECG SIGNAL ANALYSIS AND PREDICTION OF HEART ATTACK WITH THE HELP OF OPTIMIZED NEURAL NETWORK USING GENETIC ALGORITHM
... results. Neural Network is widely used tool for predicting heart ...of Neural Network and Genetic ...for neural network which train the network with proper ... See full document
9
Framework for a Genetic-Neuro-Fuzzy Inferential System for Diagnosis of Diabetes Mellitus
... After fuzzified, their values were send to FNN and the result is defuzzified. Then obtained results of ANN1 and FNN are used in the second ANN (ANN2) to compute the ultimate output. If the obtained output value is ... See full document
8
Robust Neural Network Classifier
... a neural network where i th column of this matrix contains six elements representing crab’s features (species, frontal lip, rear width, length, width and depth), and the sex of the crab will be organized as ... See full document
6
Artificial Intelligence Approaches for GPS GDOP Classification
... GDOP classification methods are employed to choose one of the acceptable subsets (four optimum satellites from 24 existing satellites) of satellites for navigation uses ... See full document
6
Performance Enhancement in Machine Learning System using Hybrid Bee Colony based Neural Network
... In the initial step of ABC algorithm, a set of food sources are selected randomly by the employed bee and their corresponding nectar amounts (i.e. fitness value) are computed. The employee bee shares these details ... See full document
7
Classification of Breast Lesions using Histopathology Images and Neural Network
... image with clear boundaries of the region of interest. Finally the regions of interest are overlapped on the original image. It is observed that the obtained regions of interest from pre-processing and segmentation ... See full document
8
Task Time Optimization of a Robot Manipulator using Artificial Neural Network and Genetic Algorithm
... The base of the robot manipulator has been made by using fiber glasses which has the dimensions of 30x22 cms and have been separated by a distance of 4.6 cms. There are four wheels which are connected to the base ... See full document
8
Control of Nonlinear Industrial Processes Using Fuzzy Wavelet Neural Network Based on Genetic Algorithm
... of network training ...By using the obtained parameters, the network output is calculated and applied to system followed by calculating the new ... See full document
6
Comparative Analysis of Artificial Neural Network and Support Vector Machine Classification for Breast Cancer Detection
... Radiologists still produces some variation in reading images. So, there is a need for automatic interpretation of images or automated classification system, and for this purpose classifier is required. ANN, SVM ... See full document
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