Learning enhancement of radial basis function network with particle swarm optimization

Learning enhancement of radial basis function network with particle swarm optimization

Back propagation (BP) algorithm is the most common technique in Artificial Neural Network (ANN) learning, and this includes Radial Basis Function Network. However, major disadvantages of BP are its convergence rate is relatively slow and always being trapped at the local minima. To overcome this pro...

Saved in:

书目详细资料
主要作者:	Sultan Noman, Qasem Mohammed
格式:	Thesis
语言:	English
出版:	2008
主题:	QA75 Electronic computers Computer science
在线阅读:	http://eprints.utm.my/id/eprint/18057/1/SultanNomanQasemMohammedMFM2008.pdf
标签:	添加标签没有标签, 成为第一个标记此记录!

相似书籍

Memetic multi-objective evolutionary algorithms of radial basis function network for classification problems
由: Qasem, Sultan Noman
出版: (2011)

Learning enhancement of radial basis function neural network with harmony search algorithm
由: Ahmed, Mohamed Hassan
出版: (2013)

Particle swarm optimization for neural network learning enhancement
由: Abdull Hamed, Haza Nuzly
出版: (2006)

Classification of breast cancer microarray data using radial basis function network
由: Mazlan, Umi Hanim
出版: (2009)

Enhancement of elman recurrent network learning with particle swarm optimization
由: Ab. Aziz, Mohamad Firdaus
出版: (2007)

The impact of VMAX activation function in particle swarm optimization neural network
由: Lee, Yiew Siang
出版: (2008)

Radial basis function neural network learning with modified backpropagation algorithm
由: Tukur, Usman Muhammad
出版: (2014)

Comparative study of classification tissue in medical imaging using radial basis function (RBF) and backpropagation (BP) network
由: Zainudin, Muhammad Noorazlan Shah
出版: (2009)

Improving learning enhancement radial basis function neural network using improved harmony search algoritim
由: Ahmed Salad, Abdirahman
出版: (2014)

Study of particle swarm optimization fitness functions for multilayer perceptron network in classification problems
由: Jong, Chin Hua
出版: (2009)

Comparative study between radial basis function and polynomial of support vector regression in predicting flood
由: Azhari , Farhana
出版: (2010)

Comparison of social network structure for particle swarm optimization
由: Chey, Kok Huat
出版: (2008)

Enhanced segment particle swarm optimization for large-scale kinetic parameter estimation of escherichia coli network model
由: Mohammed Adam, Kunna Azrag
出版: (2021)

Enhanced self organizing map with particle swarm optimization for classification problems
由: Hasan, Shafaatunnur
出版: (2010)

Centripetal accelerated particle swarm optimization and its applications in machine learning
由: Beheshti, Zahra
出版: (2013)

Parameter optimization of evolving spiking neural network with dynamic population particle swarm optimization
由: Md. Said, Nur Nadiah
出版: (2018)

Forecasting Muar river water quality using radial basis function neural network
由: Abd. Jalal, Mohd. Razi
出版: (2013)

A levy flight particle swarm optimizer for machining performances optimization
由: Kamaruzaman, Anis Farhan
出版: (2014)

Hybrid particle swarm optimization-artificial neural network gender classifier for trabecular bone morphology
由: Sahadun, Nur Afiqah
出版: (2014)

Robust neural network predictors using radial basis functions /
由: Siti Hajar Salleh
出版: (1996)

A study on premature convergence and its prevention in particle swarm optimization
由: Abdullah Asuhaimi, Farhana
出版: (2007)

Hybrid fuzzy multi-objective particle swarm optimization for taxonomy extraction
由: Syafrullah, Mohammad
出版: (2015)

Function Approximation Using Wavelet And Radial Basis Function Networks
由: Ramli, Rabihah
出版: (2004)

Logic Programming In Radial Basis Function Neural Networks
由: Hamadneh, Nawaf
出版: (2013)

Particle swarm optimization (PSO)-based clustering algorithm for handwritten digits recognition
由: Sahel Ba-Karait, Nasser Omer
出版: (2007)

Clustering chemical data set using particle swarm optimization based algorithm
由: Triyono, Triyono
出版: (2008)

Artificial neural network learning enhancement using artificial fish swarm algorithm
由: Tan, Swee Quo
出版: (2009)

A fast learning network with improved particle swarm optimization for intrusion detection system
由: Ali, Mohammed Hasan
出版: (2019)

Artificial immune system and particle swarm optimization for electroencephalogram based epileptic seizure classification
由: Sahel Ba-Karait, Nasser Omer
出版: (2015)

Improved particle swarm optimization and gravitational search algorithm for parameter estimation in aspartate pathways
由: Ismail, Ahmad Muhaimin
出版: (2017)

Modeling medical doctor rostering using hybrid genetic algorithm-particle swarm optimization
由: Zainudin, Zanariah
出版: (2014)

Particle Swarm Optimization (PSO) approach for feature selection in sentiment analysis for propaganda issues
由: Muhamad Rodzi, Muhammad Zakwan
出版: (2022)

Hybrid particle swarm optimization-constraint-based reasoning in solving university course timetabling problem
由: Ho, Sheau Fen @ Irene
出版: (2010)

Hybrid fastslam approach using genetic algorithm and particle swarm optimization for robotic path planning
由: Khairuddin, Alif Ridzuan
出版: (2016)

Hybrid particle swarm optimization constraint based reasoning in solving university course timetabling problem
由: Ho, Irene Sheau Fen
出版: (2010)

Quantum Particle Swarm Optimization Technique for Load Balancing in Cloud Computing
由: Elrasheed Ismail, Sultan
出版: (2013)

Automatic brain tumor segmentation method using improved fuzzy C-means and fuzzy particle swarm optimization
由: Zanganeh, Saeed
出版: (2014)

Midrange exploration exploitation searching particle swarm optimization with HSV-template matching for crowded environment object tracking
由: Nurul Izzatie Husna, Muhamad Fauzi
出版: (2023)

Libyan vehicle license plate detection and recognition using radila basis function
由: A. Abulgasem, Nureddin
出版: (2012)

Handwritten character recognition using radial basis functions /
由: Chim, Yuen Chong
出版: (1997)

Services hosted by the Perpustakaan Sultan Abdul Samad, Universiti Putra Malaysia with Cooperation MySyL Group