[PDF] Top 20 Intelligent and Robust Genetic Algorithm Based Classifier

... (VGA- classifier) proposed evolving the number of hyperplanes automatically [4] and another VGA-classifier with chromosome differentiation (VGACD-classifier) designed for pixel classification in ... See full document

... [4]. Genetic algorithm (GA) is a stochastic optimization ...(search algorithm) inspired by the laws of natural selection and ...This algorithm is derivative-free in the sense that it does not ... See full document

... a Genetic algorithm (GA) algorithm was presented as an intelligent procedure for designing of optimal evaporator control ...and robust compared with the ordinary tuning methods using ... See full document

... Ganeriwal et al. [14, 15] presented a reputation-based trust management framework (RFSN) and applied to wireless sensor networks, which uses Watchdog system to monitor the neighbor node communication behavior. ... See full document

... models based on the concept of removal of misclassified instances ...Bayes Classifier was employed on the data followed by the application of ...C4.5 classifier to the correctly classified instances ... See full document

... suggested based on a mathematical model that makes use of genetic ...The genetic algorithm [6] developed to fulfil the requirement of this model is presented in section ... See full document

... is based on a hybrid intelligent technique wherein a neural network is trained for prediction and a genetic algorithm (GA) implementation is used for evolving the neural network topology until ... See full document

... Genetic Algorithm (GA) technology in the traffic control system to provide intelligent green interval responses based on dynamic traffic load inputs, thereby overcoming the inefficiencies of ... See full document

... After specifying the above fields, press the "OK" button. To do this, first depend on the entered information in previous step, the software will decide that is it required to put for this product (fuzzy system). ... See full document

... of genetic algorithm is that in the use of probabilistic search technology, the multi-point search of the solution space increases the flexibility of the search and avoids the local ...the genetic ... See full document

... Anomaly based approach and III) Hybrid approach that combines signature and anomaly detection ...signature based or anomaly based ...signature based is build using genetic ... See full document

... of classifier is evaluated in terms of accuracy, sensitivity, specificity and ...that Genetic Algorithm can be apply for dimension reduction and GA-RF model can be implemented for other disease ... See full document

... an intelligent quiz system have different difficulty level, different response time, ...solution based on genetic algorithm (GA) to build an intelligent quiz ... See full document

... learning algorithm (BPLA), which minimizes the mean squared error (MSE – cost function) of the training data, be used in the process of training neural ...(MSE) based learning algorithm is not ... See full document

... the algorithm has basically found the optima1 solution of the function in about 50 generations, and the corresponding standard deviation is mostly stable in the appropriate range, which indicates that the results ... See full document

... system robust; however, the structure of the resulting controller has high order which is not suitable for practical ...the robust controller with high order is not feasible for the analog circuit ... See full document

... The genetic algorithm is a family of computational models inspired by evolution and is used to find true or approximate solutions to optimization ...problem. Genetic algorithms are a class of ... See full document

... lattice classifier (FLC) and fuzzy lattice reasoning (FLR) were applied for faults diagnosis of bearing ...results based on the rules in the form of ‘if condition ...a classifier ensemble was that ... See full document

... Abstract: In the current era, Credit business is one of the functions related to the financial institution that has been increasing rapidly. Previously credit risk assessment is done by the human judgements but now days, ... See full document

...  In some cases, both the algorithms fare equally, such as in the case of Classical music, set 1, with a value of 96.95%. In the case of Rock, set 3, PRH has been found to have a higher accuracy of 98.98% whereas MLH ... See full document