[PDF] Top 20 Radial basis function neural network learning with modified backpropagation algorithm
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Radial basis function neural network learning with modified backpropagation algorithm
... Artificial Neural Network (ANN) was developed as a parallel distributed system that is inspired by the biological learning process of the human ...of learning to solve problems through ... See full document
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STOCK MARKET PREDICTION USING BIO-INSPIRED COMPUTING: A SURVEY
... various neural network models i.e functional link artificial neural network(FLANN),Radial basis function neural network(RBFNN) local linear wavelet ... See full document
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An Adaptive Controller using Radial Basis Function Neural Network with Reinforcement Learning
... The shortcoming of this technique is said to be its long execution time. This can be solved by reducing the number of the particles that hardly shows any effect in the given results and speeds up the algorithm. In ... See full document
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Backpropagation neural network as earthquake early warning tool using a new modified elementary Levenberg–Marquardt Algorithm to minimise backpropagation errors
... ing network, for example, the Free Field Strong Earthquake Observation Network of the CWB was already sufficient for these ...monitoring network, adjusting the different leaning rates can minimise ... See full document
9
Radial basis function neural network for software engineering measures A survey
... Logic, Neural Network, and Genetic Algorithm ...(Radial Basis Function) and SVM has some secure relationship among them where they both are identified in many applications like ... See full document
6
Detecting Network Intrusion Using BPA & RBF Neural Network Algorithms
... Meera Gandhi et al, 2009, propose a Polynomial Discriminant Radial Basis Function (PRBF) for intrusion detection to achieve robustness and flexibility. Based on several models with different ... See full document
6
Iterative Application of the aiNET Algorithm in the Construction of a Radial Basis Function Neural Network
... System algorithm, the Artificial Immune NETwork (aiNet), as part of an Intelligent Hybrid System that is responsible for determining the number of centers and its initial positioning on a decision ...aiNet ... See full document
8
Model of Electric Power Load by Adaptive Neural Network
... The Backpropagation algorithm has become a common algorithm used for training feed-forward multilayer ...Square algorithm that minimizes the mean square error between the target output and the ... See full document
6
Combining gene expression programming and genetic algorithm as a powerful hybrid modeling approach for pear rootstocks tissue culture media formulation
... perceptron neural networks (MLPNN) and Multiple Linear Regression (MLR) ...as Radial Basis Function Neural Network (RBFNN) and Gene Expression Programming ...novel ... See full document
18
A Correlative Study of Perturb and Observe Technique and GA RBF NN Method Supplying a Brushless DC Motor
... Keywords Maximum Power Point Tracking, Perturb and Observe, Genetic-Assisted Radial Basis Function, Levenberg-Marquardt algorithm, Neural Network and Interleaved Boost converter.. Introd[r] ... See full document
12
Rainfall prediction using Machine Learning Techniques
... Tree, Neural Networks, and Fuzzy Logic for the use of rainfall ...machine learning algorithms like MultiLayer Perceptron Neural Network (MLPNN), Back Propagation Algorithm(BPA), ... See full document
7
An Autonomous Incremental Learning Algorithm for Radial Basis Function Networks
... Five data sets are selected from UCI Machine Learning Repository [15] to evaluate the performance of AL-RAN. Table 1 shows the information on the data sets. Al- though training and test data are separately ... See full document
11
Diagnosis of Chronic Kidney Disease Using Machine Learning Algorithms
... renal function over a period of several months or ...kidney function failure by applying the classification algorithm on the test result obtained from the patient medical ...Propagation Neural ... See full document
9
Performance Evaluation Analysis of MLP & DG-RBF Feed Forward Neural Networks for Pattern Classification of Handwritten English Curve Scripts Naveen Kumar Sharma 1, S R Pande2 and Manu Pratap Singh 3*
... forward neural network trained with back propagation algorithm does not perform better in comparison to feed forward neural network trained with decent gradient with ...DG-RBF ... See full document
14
Learning enhancement of radial basis function neural network with harmony search algorithm
... This dataset is presented to the inputs at the beginning of the learning process to determine the correct outputs. As in Kattan et al. (2010) an output value that is close to the desired output could be achieved ... See full document
31
Learning Methods of Radial Basis Function Neural Network
... samples, learning algorithm of RBF network should address the following issues: (1) structure design, that is how to determine the number of hidden nodes of network; (2) determine the hidden ... See full document
5
Dynamic Threshold Selection for Sequential Learning in Radial Basis Function Networks
... faster learning capabilities with increasing automation of ...the network. Automation as such allows neural networks of this type to adapt to the complexity of the nonlinear system to be ...such ... See full document
10
Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO
... as radial basis function artificial neural network, Multi-layer Perceptron artificial neural network, Least squares support vector machine and adaptive neuro-fuzzy ... See full document
36
Development of a Genetic based Neural Network System for Online Character Recognition
... genetic algorithm as a tool to find an optimal subset of the stroke ...standard backpropagation and genetic algorithm for recognition of uppercase ...the algorithm of feed forward BPNN ... See full document
8
Novel Ensemble Neural Network Models for better Prediction using Variable Input Approach
... Artificial Neural Network (ANN) models, namely, Multilayer Perceptron Network (MLPN), Elman Recurrent Neural Network (ERNN), Radial Basis Function Network ... See full document
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