[PDF] Top 20 La tolerancia y el respeto a las diferencias: efectos de una actividad educativa en la escuela
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Training Radial Basis Function Neural Network using Stochastic Fractal Search Algorithm to Classify Sonar Dataset
... Abstract: Radial Basis Function Neural Networks (RBF NNs) are one of the most applicable NNs in the classification of real ...for training RBF NNs, classification improper accuracy, ... See full document
76
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 ...transfer function is required and secondly possibility of trapping into the local minima is too ... See full document
182
An Efficient Proposed Approach To Classify The Breast Cancer Dataset Using Neural Network
... learning algorithm in the area of cancer ...statistical neural networks can be used to perform breast cancer diagnosis ...statistical neural network with Multi Layer Perceptron on WBCD ... See full document
109
Water Quality Sensor Model Based on an Optimization Method of RBF Neural Network
... traditional radial basis function (RBF) neural network is easy to fall into local optimal and slow training speed in the data fusion of multi water quality sensors, an ... See full document
46
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 when evolved with the back propagation algorithm for MLP & RBF network with decent gradient ...two neural networks are considered namely NN1 and ...the ... See full document
14
Prediction of Daily Network Traffic based on Radial Basis Function Neural Network
... daily network traffic using artificial neural networks (ANN), namely radial basis function neural network (RBFNN) ...are using statistical analysis, ... See full document
15
Denosing CT/MRI Images Restoration using Radial Basis Function Neural Network
... The separate channel is a nonlinear direct technique in which it does spatial averaging without smoothing edges and it is a suitable picture denoising framework. It in like way can be related with the blocking old ... See full document
7
Forecasting Muar river water quality using radial basis function neural network
... This project attempts to avoid this difficult and lengthy process by approximating the problem using Artificial Intelligence (AI). A different type of AI which is the RBFNN was used instead of commonly used ... See full document
9
FIR Digital Filter and Neural Network Design using Harmony Search Algorithm
... solution using higher-level ...parameter search when used in filter design ...the search space in order to find the optimal ...local search procedures to complex learning ... See full document
12
Multilingual Speech Recognition Using Radial Basis Function (RBF) Neural Network
... The flow chart of the methodology in given in Fig2, the methodology is divided into two stages. In first stage the signal is first read by the system then preprocessing is done, MFCC and LPC feature extraction are ... See full document
46
An Adaptive Controller using Radial Basis Function Neural Network with Reinforcement Learning
... PID controllers are one of the most practical, reliable and typical controllers used for controlling variety of systems in many engineering fields. The controllers’ adaptive property is of great importance that is ... See full document
6
ELECTRICITY CONSUMPTION PREDICTION SYSTEM USING A RADIAL BASIS FUNCTION NEURAL NETWORK
... used neural net- works to model the time-series of electricity ...feed-forward neural net- work to relate the electricity consumption to the number of occupancy and weather ...cial neural ... See full document
9
A NOVEL DIFFERENTIAL PROTECTION FOR POWER TRANSFORMER USING RADIAL BASIS FUNCTION NEURAL NETWORK
... new algorithm will used for Radial Basis Function Neural Network approach It does not require choosing any coefficient or threshold ...proposed algorithm is also tested ... See full document
8
Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO
... of training in the ...Artificial neural network has ability of tracing a nonlinear form relationship between input and output ...artificial neural networks have widespread application in ... See full document
12
Dynamic Threshold Selection for Sequential Learning in Radial Basis Function Networks
... the network. Automation as such allows neural networks of this type to adapt to the complexity of the nonlinear system to be ...the training of such neural networks still require a finite ... See full document
5
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
87
Radial basis function neural network for software engineering measures A survey
... Ward Network is the initial architecture of neural ...Normally, neural network is the highest communicating network of difficult and huge number of processing components which are ... See full document
15
Combining gene expression programming and genetic algorithm as a powerful hybrid modeling approach for pear rootstocks tissue culture media formulation
... of using GP- based methods like GEP, over other approaches is their ability for production of prediction equations without any assumption for prior form of the relation- ... See full document
45
The Face Recognition System By Using The Radial Basis Function Neural Network (RBFNN)
... Firstly, I am grateful that the final year project is success finished with achieving its objectives. Alhamdulillah! Then, the most gratitude is for my supervisor, Encik Khairul Azha Bin A.Aziz whom gives support, ... See full document
82
A Correlative Study of Perturb and Observe Technique and GA RBF NN Method Supplying a Brushless DC Motor
... Observe algorithm and the Genetic Assisted-Radial Basis Function-Neural Network (GA-RBF-NN) algorithm, both incorporating the Interleaved Boost ...used algorithm as ... See full document
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