genetic neural network techniques
Neural network and genetic algorithm techniques for energy efficient relay node placement in smart grid
... sensor network that has been deployed in the field and also almost change battery in sensor node is impossible hence network life-time play a very important role in sensor network ...the ...
30
Effective Analysis of Lung Infection using Fuzzy Rules
... Soft Computing is conglomerate of methodologies which works together and provides an ability to make a decision from reliable data or expert’s experience. Nowadays different types of soft computing techniques such ...
9
Spam detection using hybrid of artificial neural network and genetic algorithm
... Christina et al. (2010) generated spam and non-spam message corpus from the latest mails and employed machine learning techniques to create the model. The efficiency of the model is estimated using 10-fold cross ...
23
Advanced QSRR Modeling of Organic Pollutants in Natural Water and Wastewater in Gas Chromatography Time-of-Flight Mass Spectrometry
... daily. Genetic algorithm-partial least square (GA-PLS), Kernel partial least square (GA-KPLS) and Levenberg-Marquardt artificial neural network (L-M ANN) techniques were used to investigate ...
22
Implementation of Evolutionary Computing Techniques for Cancer Diagnosis Using Digital Signal Processor
... logic, Neural Network, Genetic algorithm and adaptive neuro fuzzy inference system approaches have been used earlier in the computerized diagnostic system for cancer ...
7
A Survey Paper on Detection and Classification of Leaf Diseases in Plants
... processing techniques gives the accurate and fast ...classification techniques. There are many successful detection techniques like Artificial Neural Network, Probabilistic ...
5
The Application of Genetic Neural Network in Network Intrusion Detection
... optimization techniques, such as conjugate gradient and Newton ...a network on a representative set of input/target pairs and get good results without training the network on all possible ...
8
An Approach to Enhance Multimedia Security in Cloud Computing
... 2-Fish, Genetic Algorithm and neural network based ...mentioned techniques in hybridization with each ...of neural network ...
7
Role of the Computational Intelligence in Drugs Discovery and Design: Introduction, Techniques and Software
... computational techniques that play a vital role in the drugs discovery & design ...computational techniques are use in the field of computer science, electrical engineering and electronics & ...
12
A hybrid artificial neural network - genetic algorithm for load shedding
... as network model, network size, activation function, learning parameters, and number of training samples ...artificial neural networks often use network types such as Generalized Regression ...
9
Performance Evaluation of Genetic Algorithm and Counter Propagation Neural Network for Anomaly Detection in Online Transaction
... Existing techniques of genetic algorithm (GA) and counter propagation neural network (CPNN) have been applied to take credit card fraud detection using different dataset and ...
6
ECG SIGNAL ANALYSIS AND PREDICTION OF HEART ATTACK WITH THE HELP OF OPTIMIZED NEURAL NETWORK USING GENETIC ALGORITHM
... mining techniques along with computer generated information are used for appropriate ...results. Neural Network is widely used tool for predicting heart ...of Neural Network and ...
9
A Technical Review on Intrusion Detection System
... two techniques as described in [10], which are Anomaly Detection and Signature ...like Neural Network, Support Vector Machine, Genetic algorithm, Clustering, Fuzzy Logic can be used to ...
6
HYBRID AND INTEGRATED APPROACH TO SHORT TERM LOAD FORECASTING
... intelligence techniques to the Load-Forecasting ...(AI) techniques used for load forecasting are Expert systems, Fuzzy, Genetic Algorithm, Artificial Neural Network ...and Neural ...
6
Robust Exponential Stability of Periodic Solutions for Static Recurrent Neural Networks with Delays
... of network neuron ...of neural networks and are widespread, and in many cases they tend to occur in the same ...recurrent neural network, Considering the influence of pulse and random ...
6
Would two-stage scoring models alleviate bank exposure to bad debt?
... modelling techniques, namely, discriminant analysis, logistic regression, multi- layer feed-forward neural network and probabilistic neural network are used in building credit scoring ...
14
A NOVEL TWO DIMENSIONAL SPECTRAL/SPATIAL HYBRID CODE FOR OPTICAL CODE DIVISION MULTIPLE ACCESS SYSTEM
... many techniques have been proposed to recognize humans, based on the shape of their ...Feed-Forward Neural Network (FFNN) and Convolutional Neural Network (CNN) techniques, which ...
10
Using Artificial Neural Network Modeling in Forecasting Revenue: Case Study in National Insurance Company/Iraq
... using neural network ...horizon, neural networks yield no significant forecast ...best neural network models are about 15 to 19 per cent lower than their linear model ...
8
A Survey on Intrusion Detection Systems for Cloud Computing Environment
... the network connection that can be used to classify the network behaviour as intrusive or ...of network data are included for rule ...detect network anomalies that is based on information ...
10
OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON
... Dump engineering is an important part in production processes of open-pit mining. In order to complete the mine production tasks smoothly, it is necessary to make the most of land possessed by the dump in an economical ...
6