several neural network algorithm
FIR Digital Filter and Neural Network Design using Harmony Search Algorithm
... HS Algorithm and adapting the algorithm to utilise it in designing FIR filters and neural ...The algorithm has been initially used for several other applications mentioned in Chapter ...
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A co-operative hybrid algorithm for fault diagnosis in power transmission
... The algorithm is a hierarchical model which combines several reasoning methods such as heuristic, temporal and model-based diagnosis and incorporates a network of neural net[r] ...
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Hybrid Prediction Models For Stock Market
... Artificial Neural Networks and hybrid ...artificial neural network (ANNs) suggests that ANNs can be promising alternative to the traditional linear methods like ARIMA ...Propagation neural ...
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Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK
... are several studies which use evolutionary and bio - inspired algorithms as a basic way of training ANN ...training neural networks are based on local search, population methods, and others such as ...
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Neural Network based LEACH Clustering Algorithm in WSN
... sensor network [1] is gaining popularity to its crest today, since the users want wireless connectivity irrespective of their geographic ...sensor network of spatially distributed autonomous sensors to ...
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Improved spikeprop algorithm for neural network learning
... Chapter 5, Results and Discussion, correlates different techniques by comparing different results produced by the proposed Model 1, Model 2. Model 3a, Model 3b, Model 4 and Model for classification problems. Performance ...
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Differential evolution for neural networks learning enhancement
... forward neural network ...evolutionary algorithm are distributed among ...to several classification and regression learning ...the algorithm was measured on a compute cluster consisting ...
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Application of Neural Network to Game Algorithm
... Game was an important application of heuristic search all along. There have been several game systems as early as 1960s. One of the parties in the game tries to maximize the odds of winning goal, while the other ...
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Detection of Tumor in Mammographic Images by RBF Neural Network and Multi Population Genetic Algorithm
... Several methods are proposed in order to realize this task; we quote the connectionists approaches (NN), optimizations methods (EA) and the artificial intelligence methodologies which include fuzzy logic and ...
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USE OF GENETIC SVM FOR ECG ARRHYTHMIA CLASSIFICATION
... e Neural Network Training: The training to the network is given using a Supervised learning algorithm;back- propogation This algorithm looks for the minimum of the error function in ...
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E Learning Optimization Using Supervised Artificial Neural Network
... into several basic groups, each sharing with specific purposes and ...(k-NN) algorithm is one of the most popular and non-parametric method used in classification and ...artificial neural networks, ...
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‘Neural Network’ a Supervised Machine Learning Algorithm
... An artificial neural network consists of several layers and each layer has a number of artificial neurons in it. Artificial Neuron is much simpler then the biological neuron. It consists of various ...
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Classification Using Two Layer Neural Network Back Propagation Algorithm
... are several other techniques to predict and classify breast ...Genetic algorithm performs fitness function and also crossover operation and mutation operation via random ...belief network represent ...
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Research on neural network chaotic encryption algorithm in wireless network security communication
... resentative algorithm of the corresponding asymmetric algorithm is RSA algorithm ...the algorithm is that the length of the key has reached 56 bits, which cannot meet the current wireless ...
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Sla Aware Load Balancing Algorithm Using Join-Idle Queue for Virtual Machines in Cloud Computing
... delivery. Several elements are present in cloud that is clients, datacenter and distributed ...Queue(JIQ) algorithm for balancing the load among virtual ...the algorithm nn-dwrr, for dispatching ...
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Design of Intrusion Detection System Based on Improved ABC elite and BP Neural Networks
... population algorithm originates from the resolution of numerical optimization problems and is a meta-heuristic target optimization ...traditional neural network training methods, researchers began to ...
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Date Fruits Classification using MLP and RBF Neural Networks
... RBF neural network consists of determining the location of centers and widths for the hidden layer and the weights of the output ...(LMS) algorithm to adjust the weight so as to obtain the minimum ...
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Type-2 Fuzzy Logic Approach To Increase The Accuracy Of Software Development Effort Estimation
... descend algorithm and the neuro- fuzzy-genetic hybrid approach have been used in order to teach the type-2 fuzzy ...proposed algorithm, three databases have been ...
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FACE DETECTION WITH SKIN COLOR AND FEATURES AND RECOGNIZATION USING GENETIC ALGORITHM
... training neural network models from scratch can be high, another feature employed in this work was to guarantee that when a new offspring is generated it does not duplicate any chromosome ...
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Research on Classification of E-shopper Based on Neural Networks and Genetic Algorithm
... and neural network etc are usually used to mine e-shopper’s transaction database in order to classify ...artificial neural network is the important one of the ...fact, neural ...
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