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Iterative Application of the aiNET Algorithm in the Construction of a Radial Basis Function Neural Network
Artificial Immune Systems Radial Basis Function Neural Network aiNET
2015/7/28
This paper presents some of the procedures adopted in the construction of a Radial Basis Function Neural Network by iteratively applying the aiNET, an Artificial Immune Systems Algorithm. These proced...
Comparison between Multi-Layer Perceptron and Radial Basis Function Networks for Sediment Load Estimation in a Tropical Watershed
Sediment Load Neural Network MLP RBF Hulu Langat Watershed
2013/3/19
Prediction of highly non-linear behavior of suspended sediment flow in rivers has prime importance in environmental studies and watershed management. In this study, the predictive performance of two A...
Comparison of Genetic Programing, Radial Basis Function Network and Polynomial Equation Used for Response Surface Method for Catalyst Optimization
Genetic programing Cobalt-magnesia catalyst Methane dry reforming
2009/8/4
Preparation conditions of Co-MgO catalyst for methane dry reforming were optimized to maximize the CO yield. Response surface method, composed of design of experiment and regression method, was appli...
A New Approach Using Temporal Radial Basis Function in Chronological Series
Temporal RBF Classification Spatio-Temporal
2009/7/28
In this paper, we present an extended form of Radial Basis Function network called Temporal-RBF (T-RBF) network. This extended network can be used in decision rules and classification in Spatio-Tempor...
Design of Cu-Zn-Al-Sc Oxide Catalyst for Methanol Synthesis Using Genetic Algorithm Based on Radial Basis Function Network as the Evaluation Function
Combinatorial chemistry High throughput screening Genetic algorithm
2009/7/24
Optimization of catalyst composition using a genetic algorithm (GA) is intended to increase the activity in a series of repetitive steps consisting of determination of the composition, catalyst prepa...
Classifying ships by their acoustic signals with a cross-bispectrum algorithm and a radial basis function neural network
acoustic vector signal cross-bispectrum feature extraction RBFNN ship classification
2011/9/9
An algorithm for estimating the cross-bispectrum of an acoustic vector signal was formulated. Composed features of sound pressure and acoustic vector signals are extracted by the proposed algorithm an...
Nonlinear Time Series Forecast Using Radial Basis Function Neural Networks
neural network nonlinear time series
clustering
2007/8/15
2003Vol.40No.2pp.165-168DOI:
Nonlinear Time Series Forecast Using Radial Basis Function Neural Networks
ZHENG Xin and CHEN Tian-Lun
Institute of Physics, Nankai Universi...