Learning in the feed-forward random neural network: A critical review

Authors:
Michael Georgiopoulos;Cong Li;Taskin Kocak
Affiliations:
School of EECS, University of Central Florida, United States;School of EECS, University of Central Florida, United States;Department of Computer Engineering, Bahcesehir University, Turkey
Venue:
Performance Evaluation
Year:
2011

Citing 72
Cited 5

The ART of Adaptive Pattern Recognition by a Self-Organizing Neural Network

Computer
Stability of the random neural network model

Neural Computation
Learning internal representations by error propagation

Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Convergence properties of learning in ART1

Neural Computation
Universal approximation using radial-basis-function networks

Neural Computation
Properties of learning related to pattern diversity in ART1

Neural Networks
Improving the convergence of the back-propagation algorithm

Neural Networks
Properties of learning in ARTMAP

Neural Networks
Learning in the recurrent random neural network

Neural Computation
Fuzzy ART properties

Neural Networks
Gaussian ARTMAP: a neural network for fast incremental learning of noisy multidimensional maps

Neural Networks
Traffic and video quality with adaptive neural compression

Multimedia Systems - Special issue on multimedia networking
Order of search in fuzzy ART and fuzzy ARTMAP: effect of the choice parameter

Neural Networks
Single-objective and two-objective genetic algorithms for selecting linguistic rules for pattern classification problems

Fuzzy Sets and Systems
Fast training of support vector machines using sequential minimal optimization

Advances in kernel methods
Random neural networks with multiple classes of signals

Neural Computation
A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms

Machine Learning
Evolving Multilayer Perceptrons

Neural Processing Letters
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Design and performance of cognitive packet networks

Performance Evaluation
A Tutorial on Support Vector Machines for Pattern Recognition

Data Mining and Knowledge Discovery
Differential Evolution – A Simple and Efficient Heuristic for Global Optimization over Continuous Spaces

Journal of Global Optimization
Category regions as new geometrical concepts in Fuzzy-ART and Fuzzy-ARTMAP

Neural Networks
Effiicient BackProp

Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop
Random Neural Network Recognition of Shaped Objects in Strong Clutter

ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
Soft Genetic Operators in Evolutionary Algorithms

Evolution and Biocomputation, Computational Models of Evolution
Using the particle swarm optimization technique to train a recurrent neural model

ICTAI '97 Proceedings of the 9th International Conference on Tools with Artificial Intelligence
Novel approaches in adaptive resonance theory for machine learning

Novel approaches in adaptive resonance theory for machine learning
Speeding up backpropagation using multiobjective evolutionary algorithms

Neural Computation
Performance evaluation of real-time speech through a packet network: a random neural networks-based approach

Performance Evaluation
Autonomous Smart Routing for Network QoS

ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Multi-class ROC analysis from a multi-objective optimisation perspective

Pattern Recognition Letters - Special issue: ROC analysis in pattern recognition
Laser intensity vehicle classification system based on random neural network

Proceedings of the 43rd annual Southeast regional conference - Volume 1
Controlling Multimedia QoS in the Future Home Network Using the PSQA Metric

The Computer Journal
Statistical Comparisons of Classifiers over Multiple Data Sets

The Journal of Machine Learning Research
An Improved Particle Swarm Optimization for Evolving Feedforward Artificial Neural Networks

Neural Processing Letters
Particle Swarm Optimization of Neural Network Architectures andWeights

HIS '07 Proceedings of the 7th International Conference on Hybrid Intelligent Systems
Predictive models for the breeder genetic algorithm i. continuous parameter optimization

Evolutionary Computation
A Denial of Service Detector based on Maximum Likelihood Detection and the Random Neural Network

The Computer Journal
Random neural networks with negative and positive signals and product form solution

Neural Computation
Random neural networks with synchronized interactions

Neural Computation
Nonnegative Least Squares Learning for the Random Neural Network

ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Synchronized Interactions in Spiked Neuronal Networks

The Computer Journal
Steps toward self-aware networks

Communications of the ACM - Barbara Liskov: ACM's A.M. Turing Award Winner
Evolutionary artificial neural networks by multi-dimensional particle swarm optimization

Neural Networks
The Cognitive Packet Network

The Computer Journal
The Random Neural Network

The Computer Journal
Letters: An improved PSO-based ANN with simulated annealing technique

Neurocomputing
A new approach to improve particle swarm optimization

GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Comparison of genetic algorithm and particle swarm optimizer when evolving a recurrent neural network

GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Evolutionary multi-objective optimization of spiking neural networks

ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
An adaptive multiobjective approach to evolving ART architectures

IEEE Transactions on Neural Networks
Evaluating users’ satisfaction in packet networks using random neural networks

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Adaptive inertia weight particle swarm optimization

ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing
Discriminative learning for minimum error classification [patternrecognition]

IEEE Transactions on Signal Processing
Evolutionary multi-objective optimization: a historical view of the field

IEEE Computational Intelligence Magazine
Pareto-Based Multiobjective Machine Learning: An Overview and Case Studies

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
A hybrid of genetic algorithm and particle swarm optimization for recurrent network design

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Simulated annealing: Practice versus theory

Mathematical and Computer Modelling: An International Journal
Video quality and traffic QoS in learning-based subsampled and receiver-interpolated video sequences

IEEE Journal on Selected Areas in Communications
A study of real-time packet video quality using random neural networks

IEEE Transactions on Circuits and Systems for Video Technology
Function approximation with spiked random networks

IEEE Transactions on Neural Networks
Cost functions to estimate a posteriori probabilities in multiclass problems

IEEE Transactions on Neural Networks
Learning in the multiple class random neural network

IEEE Transactions on Neural Networks
Design and implementation of a random neural network routing engine

IEEE Transactions on Neural Networks
On Adaptive Learning Rate That Guarantees Convergence in Feedforward Networks

IEEE Transactions on Neural Networks
Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps

IEEE Transactions on Neural Networks
Neural Network Learning With Global Heuristic Search

IEEE Transactions on Neural Networks
Avoiding false local minima by proper initialization of connections

IEEE Transactions on Neural Networks
A novel multilayer neural networks training algorithm that minimizes the probability of classification error

IEEE Transactions on Neural Networks
Training feedforward networks with the Marquardt algorithm

IEEE Transactions on Neural Networks

Guest Editorial: Introduction to the Special Issue on G-Networks and the Random Neural Network

Performance Evaluation
Video quality estimator for wireless mesh networks

Proceedings of the 2012 IEEE 20th International Workshop on Quality of Service
Pruning feedforward neural network search space using local lipschitz constants

ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part I
The Multilayer Random Neural Network

Neural Processing Letters
Multiobjective learning in the random neural network

International Journal of Advanced Intelligence Paradigms

Quantified Score

Hi-index	0.00

Visualization

Abstract

The Random Neural Network (RNN) has received, since its inception in 1989, considerable attention and has been successfully used in a number of applications. In this critical review paper we focus on the feed-forward RNN model and its ability to solve classification problems. In particular, we paid special attention to the RNN literature related with learning algorithms that discover the RNN interconnection weights, suggested other potential algorithms that can be used to find the RNN interconnection weights, and compared the RNN model with other neural-network based and non-neural network based classifier models. In review, the extensive literature review and experimentation with the RNN feed-forward model provided us with the necessary guidance to introduce six critical review comments that identify some gaps in the RNN's related literature and suggest directions for future research.