radial basis function neural network architecture
Classification of aircraft images using different architectures of radial basis function neural network : a performance comparison
... classification performance of Goal Oriented Radial Basis Architecture, Generalized Gaussian. Neural Network Architecture and Probabilistic Neural Network Architecture is [r] ...
16
Forecasting foreign exchange rates with adaptive neural networks using radial basis functions and particle swarm optimization
... hybrid Neural Network architecture of Particle Swarm Optimization and Adaptive Radial Basis Function (ARBF-PSO), a time-varying leverage trading strategy based on Glosten, ...
33
An Adaptive Controller using Radial Basis Function Neural Network with Reinforcement Learning
... In Fig. 1. y(t) and Ref on the top show the actual output and the reference input respectively. The error e(t) is used as the system state vector input that is x(t) and is needed by the actor-critic part. Actor-critic ...
7
Learning enhancement of radial basis function neural network with harmony search algorithm
... of radial bases function as an alternative of ANN was first perceived late 80’s, although their related counterpart – pattern recognition technique – existed long ago (Bors, ...RBF Neural ...
31
Radial basis function neural network learning with modified backpropagation algorithm
... RBFNN is an ANN, which uses RBF as activation functions. RBFNN forms a unique kind of ANN architecture with only three layers. In RBFNN, different layers of the network perform different tasks. This kind of ...
32
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 ...
6
A Novel Local Linear Radial Basis Functional Neural Network For Classification Of Pq Events
... artificial neural network (ANNs) consists of neurons, activation functions and adaptable ...the architecture of a brain. Artificial neural networks have been broadly applied in many areas of ...
5
Prediction of Salinity Variations in a Tidal Estuary Using Artificial Neural Network and Three Dimensional Hydrodynamic Models
... RBFNN, which is multilayer and feedforward, is often used for strict interpolation in multidimensional space. The term “feedforward” means that the neurons are organized in the form of layers in a layered neural ...
22
A Radial Basis Function Approach to Retrieve Soil Moisture and Crop Variables from X-Band Scatterometer Observations
... newrb function. The neurons are added one by one to the network until the sum squared error falls beneath an error goal or a maximum number of neurons are ...regression neural network (GRNN) ...
17
EFFICIENT SCHEDULING OF WORKFLOW IN CLOUD ENVIORNMENT USING BILLING MODEL AWARE TASK CLUSTERING
... 3.1 Radial basis function neural network model The radial basis function neural network (RBFNN)[8] has a feed forward architecture with an ...
6
Radial Basis Function Neural Networks : A Review
... RBF neural network with multilayer perceptron network for diabetes ...RBF network performs better than other ...different neural networks for diabetes ...regression neural ...
23
Iterative Application of the aiNET Algorithm in the Construction of a Radial Basis Function Neural Network
... From the results obtained with the aiNet-determination hybrid model described here, some benefits can be highlighted. One is the adulteration of empiricism in the determination of the inner functions of radial ...
8
A Neural Network Method Based on Mittag-Leffler Function for Solving a Class of Fractional Optimal Control Problems
... It should be noted that in the method presented in this paper, after obtaining the values of weights by solving the unconstrained optimization problem (32), we put the obtained weights in the trial solutions (22). We ...
8
The Face Recognition System By Using The Radial Basis Function Neural Network (RBFNN)
... the radial basis function network is an artificial neural network that uses radial basis functions as activation ...artificial neural network (ANN) is ...
24
OPTIMIZATION OF HIGH VOLTAGE POWER SUPPLY FOR INDUSTRIAL MICROWAVE GENERATORS FOR ONE MAGNETRON
... The function [dmodel, perf] = dacefit(S, Y, regr, corr, theta0) is used to establish the basic ...objective function ϕ θ ( ) such as the optimal and iteration ...the basis function used in the ...
5
Adaptive Inverse Control of Proton Exchange Membrane Fuel Cell Using RBF Neural Network
... by neural networks in recent ...on-line neural network identifier for the air stream and hydrogen flow with recirculation in a PEMFC system have been designed by Bao et al in ...design neural ...
13
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 ...
6
Radial Basis Function (RBF) Neural Network for Load Forecasting during Holiday
... (RBF) neural network for short term load ...artificial neural network model motivated by locally-tuned response biological neurons that provide selective response characteristics for some ...
5
Designing and implementing a system for Automatic recognition of Persian letters by Lip-reading using image processing methods
... artificial neural network and The radial basis function have categorized these phonemes, which ultimately achieved the desired results in the categorization of the ...artificial ...
10
Stator Inter Turn Short Circuit Fault Diagnosis in Three Phase Induction Motor Using Neural Networks
... system, neural network, fuzzy logic, adaptive neural fuzzy inference system, genetic algorithm ...The neural system can represent any non-direct model without having the points of interest of ...
62