Multi-step Learning Rule for Recurrent Neural Models: An Application to Time Series Forecasting
Neural Processing Letters
Solving Infinite Horizon Growth Models with an Environmental Sector
Computational Economics
The Metric Structure of Weight Space
Neural Processing Letters
Neural Model Identification Using Local Robustness Analysis
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
Robust Estimator for the Learning Process in Neural Networks Applied in Time Series
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Artificial neural network based predictive method for flood disaster
Computers and Industrial Engineering - 26th International conference on computers and industrial engineering
Journal of Global Optimization
Artificial neural network models for wind power short-term forecasting using weather predictions
MIC'06 Proceedings of the 25th IASTED international conference on Modeling, indentification, and control
Forecasting Thailand's rice export: Statistical techniques vs. artificial neural networks
Computers and Industrial Engineering
Asymptotic Law of Likelihood Ratio for Multilayer Perceptron Models
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Sales forecasting using extreme learning machine with applications in fashion retailing
Decision Support Systems
Robust Estimation of Confidence Interval in Neural Networks applied to Time Series
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Expert Systems with Applications: An International Journal
An intelligent computing algorithm to analyze bank stock returns
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
On dynamic BP neural network applied in process tracking modeling
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 1
Lattice-based artificial endocrine system
LSMS/ICSEE'10 Proceedings of the 2010 international conference on Life system modeling and simulation and intelligent computing, and 2010 international conference on Intelligent computing for sustainable energy and environment: Part III
A note on the learning effect in multi-agent optimization
Expert Systems with Applications: An International Journal
General bound of overfitting for MLP regression models
Neurocomputing
An Alarm System for Death Prediction
International Journal of Monitoring and Surveillance Technologies Research
Expert Systems with Applications: An International Journal
| Hi-index | 0.00 |
From the Publisher:The recent re-emergence of network-based approaches to artificial intelligence has been accomplished by a virtual explosion of research. This research spans a range of disciplines - cognitive science, computer science, biology, neuroscience, electrical engineering, psychology, econometrics, philosophy, etc. - which is, perhaps, wider than any other contemporary endeavor. Of all the contributing disciplines the relatively universal language of mathematics provides some of the most powerful tools for answering fundamental questions about the capabilities and limitations of these 'artificial neural networks'. In this collection, Halbert White and his colleagues present a rigorous mathematical analysis of the approximation and learning capabilities of the leading class of single hidden layer feedforward networks. Drawing together work previously scattered in space and time, the book gives a unified view of network learning not available in any other single location, and forges fundamental links between network learning and modern mathematical statistics.