[PDF] Top 20 Design of Hanman Entropy Network from Radial Basis Function Network
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Design of Hanman Entropy Network from Radial Basis Function Network
... are retained and these values become the input to the next iteration. The flowchart of JAYA algorithm is shown in Figure 2. Unlike TLBO algorithm that has two phases (i.e. teacher and learner), JAYA algorithm has only ... See full document
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Design of Aperture Coupled Microstrip Antenna Using Radial Basis Function Networks
... nine design pa- rameters is developed using RBF ...obtained from the IE3D software, which is a commercial simulator based on the moment of ...obtained from the simulated data. The net- work is ... See full document
5
Symmetric Radial Basis Function Network Equaliser
... In this paper, we have investigated a novel symmetric RBF network structure designed for channel equalisation applica- tion. As a benefit of the underlying symmetry property of the optimal Bayesian equalisation ... See full document
5
Application of Radial Basis Function Network for Content Based Image Retrieval
... The Radial Basis Function Network Neural Network is used in this approach for classifying the Images and the Image retrieval is designed by using the Absolute ... See full document
5
Adaptive Inverse Control of Proton Exchange Membrane Fuel Cell Using RBF Neural Network
... using radial basis function neural network (RBFNN) to PEMFC ...for design and scheduling of the controller ...Results from the simulation manifest that the inverse control scheme ... See full document
13
Learning Methods of Radial Basis Function Neural Network
... 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 center vector c i and the base width ... See full document
5
Research on Intention Recognition Method Based on Radial Basis Function Neural Network
... the basis of human-hu- man collaboration, put forward that if a robot is en- dowed with the prejudging ability like human, can recognize the collaborator’s intention in real time and build the relationship between ... See full document
11
Design of radial basis function neural network controller for BLDC motor control system
... mapping from input layer to output layer is nonlinear, but the mapping from hidden layer to output layer is linear, Thus greatly accelerate the speed of learning, and avoid the local minimum ...neural ... See full document
8
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
7
Radial basis function neural network learning with modified backpropagation algorithm
... fundamental design maps non-linear problem into a high dimension space which turns the problem into a linear ...implemented from input to hidden layer and hidden to output layer of RBFNN ...the ... See full document
32
Learning enhancement of radial basis function neural network with harmony search algorithm
... According to Kulluk et al. (2012) Harmony Search Algorithm (HSA) is a meta-heuristic optimization algorithm motivated from the process of making music. In HS algorithm each decision variable (musical instrument) ... See full document
31
Applying ANN, ANFIS, and LSSVM Models for Estimation of Acid Solvent Solubility in Supercritical CO
... metals from solid and liquid phases ...a function of various factors such as polarity, molecular weight, pressure, temperature and vapor pressure[19, ... See full document
36
STOCK MARKET PREDICTION USING BIO-INSPIRED COMPUTING: A SURVEY
... A stock market or equity market is a public entity for the trading of company stock (shares) and derivatives at an agreed price[1]. The stocks are listed and traded on stock exchanges which are entities of a corporation ... See full document
8
The Face Recognition System By Using The Radial Basis Function Neural Network (RBFNN)
... In order to keep the security of the recognition system, the development of face recognition system is being researched so that it keeps track with the other advanced technologies. Recently, the research on the face ... See full document
24
Face Recognition using Rectangular Feature
... classification function represents one feature of particular scale, position, and a specific color ...classification function will be weighted according their ... See full document
5
Classification of breast cancer microarray data using radial basis function network
... radiation from the sun that can lead to melanoma and other skin malignancies (English DR, Armstrong BK, Kricker A, Fleming C,1997) are the sources of the ionizing ... See full document
32
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
7
Orthogonal forward selection for constructing the radial basis function network with tunable nodes
... This paper proposes an efficient construction algorithm for the RBF network with tunable nodes. In this approach, each RBF node has a tunable centre vector and a tun- able diagonal covariance matrix, and an ... See full document
10
Iterative Application of the aiNET Algorithm in the Construction of a Radial Basis Function Neural Network
... Specifically, this paper deals with the construction of Radial Basis Function Neural Network (RBFNN). Although this ANN model may have their weights determined according to the training data, ... See full document
8
Concurrent blind channel equalization with phase transmittance RBF neural networks
... One of the channel models available from SPIB is the microwave channel M7, whose impulse response is shown in Figure 2. This channel rotates the received IQ symbol constellation when deconvolved via CMA equalizer ... See full document
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