back propagation artificial neural network
National Stock Exchange Stock and Index Price Direction Prediction using Back-propagation Artificial Neural Network
... It is found in many research literature [2]–[10], The most popular architecture applying for financial market is the multilayer feed-forward neural networks. A standard Neural Network has at least ...
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Prediction of Drug Lipophilicity Using Back Propagation Artificial Neural Network Modeling
... Genetic algorithm for descriptor selection The selection of relevant descriptors, which relate the logP o/w to the molecular structure, is an important step to construct predictive models. The genetic algorithm was ...
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Artificial Intelligence in the Estimation of Patch Dimensions of Rectangular Microstrip Antennas
... of back propagation training algorithm of MLFFBP-ANN (Multilayer feed forward back propagation Artificial Neural Network) and RBF-ANN (Radial basis function ...
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OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON
... function, back propagation artificial neural network(BP-ANN) and radial basis function artificial neural network (RBF-ANN) are used to simulate y=sinx with the ...
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A Quantitative Structure-activity Relationships
... (CAPSO) is proposed, which is used to molecular descriptors screening and optimization of the 15.. weights of back propagation artificial neural network (BP ANN).[r] ...
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Designing and implementing a system for Automatic recognition of Persian letters by Lip-reading using image processing methods
... the back propagation artificial neural network and The radial basis function have categorized these phonemes, which ultimately achieved the desired results in the categorization of the ...
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Recognition of Text CAPTCHA by using Back Propagation Algorithm of Artificial Neural network
... memorize the input pattern sets by minimizing the error between the as training data set desired and actual output for the 10 input set and 10 output set. The last 40 bits are being used as test patterns. In this ...
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PREDICTION AND CLASSIFICATION OF THUNDERSTORMS USING ARTIFICIAL NEURAL NETWORK
... of Artificial Intelligence which has high ability to model non-linear ...designed Back Propagation Network (BPN) successfully classifies the data with and without ...
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Groundwater quality assessment using artificial neural network: A case study of Bahabad plain, Yazd, Iran
... parameters were estimated and compared with the measured values, in order to evaluate the influence of key input parameters. The number of neurons in the hidden layer was obtained by the trial-and-error method. For this ...
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Implementation of Artificial Neural Network and Fuzzy Logic for Concurrency Control in CAD Data Base
... using Artificial Neural Networks (ANN) and Fuzzy Logic with applications to Computer Aided Design / Computer Aided Manufacturing (CAD/CAM) database that involves more and unspecified duration of time to ...
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Concurrency Control in Cad Using Artificial Neural Network and Fuzzy Logic
... using Artificial Neural Networks (ANN) and Fuzzy Logic with applications to Computer Aided Design / Computer Aided Manufacturing (CAD/CAM) database that involves more and unspecified duration of time to ...
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Application of Differential Evolution Algorithm in Prediction of Time Series Data
... and Back propagation (BP) for training a Functional Link Artificial Neural Network (FLANN) based ANN to get optimized value of weights of underlined neural ...of ...
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A COMPARATIVE ANALYSIS OF THE RESULTS OF CONVENTIONAL AND COMBINED METHODS OF TRAINING DIRECT PROPAGATION NEURAL NETWORK IN HEALTHY PERSONS TO DETECTING THE DEGREE OF ACTIVITY OF AN AUTONOMOUS NERVOUS SYSTEMFelix A. Pyatakovich*, Lubov V. Khlivnenko, Tatyana I. Yakunchenko, Kristina F. Makkonen, Olga V. MevshaDOWNLOAD/VIEW
... an artificial neural network (ANN) trained with the help of algorithm back propagation, and of that trained by combining a back propagation algorithm and a variant of ...
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Forecasting of monthly marine fish landings using artificial neural network
... model, artificial neural network with back propagation was selected for this research with enhancement made by pre- processing the data using empirical mode ...conventional ...
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Implementation of Neural Network Back Propagation Training Algorithm on FPGA
... Artificial Neural Networks have been applied to many problems, and have demonstrated their superiority over classical methods when dealing with noisy or incomplete ...[10]. Neural networks seem to be ...
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REDUCTION OF VOLTAGE DISTURBANCES IN DISTRIBUTION SYSTEM USING NEURAL CONTROLLER
... the neural controller as analogous to PI controller for voltage regulation, performance of the DVR under different voltage ...systems; neural will be best choice for non linear ...controller. ...
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Backpropagation Neural Network Algorithm for Water Level Prediction
... of artificial neural network back propagation network algorithm for the prediction of water level is the actual data which is the result of observation using wireless sensor ...
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A new Cuckoo Search Based Levenberg Marquardt (CSLM) algorithm
... Abstract. Back propagation neural network (BPNN) algorithm is a widely used technique in training artificial neural ...traditional back propagation optimized with ...
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International Journal of Computer Science and Mobile Computing
... and neural networks etc. A neural network is a massively parallel distributed processor that has a natural propensity for storing experimental knowledge and making it available for ...use. ...
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Disease Identification in Cotton Plants Using Spatial FCM & PNN Classifier
... regression, artificial neural network (back propagation neural network, generalized regression neural network) and support vector machine (SVM) was ...and ...
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