Generalization by weight-elimination with application to forecasting

Original Contribution: Improving model selection by nonconvergent methods

Neural Networks

The basic ideas in neural networks

Communications of the ACM

Flat minima

Neural Computation

Information controller to maximize and minimize information

Neural Computation

Controlling hidden layer capacity through lateral connections

Neural Computation

A systematic and effective supervised learning mechanism based on Jacobian rank deficiency

Neural Computation

Neural feature abstraction from judgements of similarity

Neural Computation

Training hard to learn networks using advanced simulated annealing methods

SAC '94 Proceedings of the 1994 ACM symposium on Applied computing

Comparison of approximate methods for handling hyperparameters

Neural Computation

Training Algorithm with Incomplete Data for Feed-ForwardNeural Networks

Neural Processing Letters

Sensitivity Analysis for Decision Boundaries

Neural Processing Letters

An intelligent sales forecasting system through integration of artificial neural networks and fuzzy neural networks with fuzzy weight elimination

Neural Networks

Machine Learning for Sequential Data: A Review

Proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition

Input and Output Feature Selection

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

A Pareto Self-Organizing Map

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

A Hierarchical Method for Training Embedded Sigmoidal Neural Networks

ICANN '01 Proceedings of the International Conference on Artificial Neural Networks

Selective Learning for Multilayer Feedforward Neural Networks

IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I

Expression Inference - Genetic Symbolic Classification Integrated with Non-linear Coefficient Optimisation

AISC '02/Calculemus '02 Proceedings of the Joint International Conferences on Artificial Intelligence, Automated Reasoning, and Symbolic Computation

Dual extended Kalman filtering in recurrent neural networks

Neural Networks

Designing neural network architectures for pattern recognition

The Knowledge Engineering Review

Overfitting problem: a new perspective from the geometrical interpretation of MLP

Design and application of hybrid intelligent systems

Bayesian neural networks for nonlinear time series forecasting

Statistics and Computing

Generalization in Interactive Networks: The Benefits of Inhibitory Competition and Hebbian Learning

Neural Computation

Linear Constraints on Weight Representation for Generalized Learning of Multilayer Networks

Neural Computation

Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms

Neural Networks

A framework to deal with interference in connectionist systems

AI Communications

Bayesian wavelet snake for computer-aided diagnosis of lung nodules

Integrated Computer-Aided Engineering

How to shift bias: Lessons from the baldwin effect

Evolutionary Computation

Architecture and algorithms of a CSCW-based sales forecasting system

SE'07 Proceedings of the 25th conference on IASTED International Multi-Conference: Software Engineering

Third-order generalization: A new approach to categorizing higher-order generalization

Neurocomputing

On the relationship between generalization error, hypothesis complexity, and sample complexity for radial basis functions

Neural Computation

The effects of adding noise during backpropagation training on a generalization performance

Neural Computation

Combining exploratory projection pursuit and projection pursuit regression with application to neural networks

Neural Computation

On optimal degree selection for polynomial kernel with support vector machines: Theoretical and empirical investigations

International Journal of Knowledge-based and Intelligent Engineering Systems

Regularization for Regression Models Based on the K-Functional with Besov Norm

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks

Sales forecasting using extreme learning machine with applications in fashion retailing

Decision Support Systems

Gray relation analysis and multilayer functional link network sales forecasting model for perishable food in convenience store

Expert Systems with Applications: An International Journal

Avoiding overfitting with BP-SOM

IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2

Adaptive regularization parameter selection method for enhancing generalization capability of neural networks

Artificial Intelligence

A novel dengue fever (DF) and dengue haemorrhagic fever (DHF) analysis using artificial neural network (ANN)

Computer Methods and Programs in Biomedicine

A new adaptive merging and growing algorithm for designing artificial neural networks

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Neural network architecture selection: can function complexity help?

Neural Processing Letters

Self organizing maps in corporate finance: Quantitative and qualitative analysis of debt and leasing

Neurocomputing

Lessons in neural network training: overfitting may be harder than expected

AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence

Sales forecasting system based on Gray extreme learning machine with Taguchi method in retail industry

Expert Systems with Applications: An International Journal

Using neural networks to monitor supply chain behaviour

International Journal of Computer Applications in Technology

Breast cancer diagnosis using neural-based linear fusion strategies

ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III

Adaptive smoothing neural networks in foreign exchange rate forecasting

ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III

A robust footprint detection using color images and neural networks

CIARP'05 Proceedings of the 10th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis and Applications

Determining regularization parameters for derivative free neural learning

MLDM'05 Proceedings of the 4th international conference on Machine Learning and Data Mining in Pattern Recognition

Metabolic p system flux regulation by artificial neural networks

WMC'09 Proceedings of the 10th international conference on Membrane Computing

ICA with sparse connections

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning

A hybrid artificial intelligence sales-forecasting system in the convenience store industry

Human Factors in Ergonomics & Manufacturing