Connectionist nonparametric regression: multilayer feedforward networks can learn arbitrary mappings

Original Contribution: Mapping neural network derived from the parzen window estimator

Neural Networks

Original Contribution: On learning the derivatives of an unknown mapping with multilayer feedforward networks

Neural Networks

Consistency of multilayer perceptron regression estimators

Neural Networks

Function Estimation by Feedforward Sigmoidal Networks with BoundedWeights

Neural Processing Letters

Prequential and Cross-Validated Regression Estimation

Machine Learning

Portmanteau Model Diagnostics and Tests for Nonlinearity: A Comparative Monte Carlo Study of Two Alternative Methods

Computational Economics

Evolving intelligent text-based agents

AGENTS '00 Proceedings of the fourth international conference on Autonomous agents

Estimation of all-terminal network reliability using an artificial neural network

Computers and Operations Research

Elkan's Reply: The Paradoxical Controversy over Fuzzy Logic

IEEE Expert: Intelligent Systems and Their Applications

A decision support tool for allocating hospital bed resources and determining required acuity of care

Decision Support Systems

Many-layered learning

Neural Computation

Simulation-Based Risk Reduction for Planning Inspections

PROFES '02 Proceedings of the 4th International Conference on Product Focused Software Process Improvement

Multi-agent Web Information Retrieval: Neural Network Based Approach

IDA '99 Proceedings of the Third International Symposium on Advances in Intelligent Data Analysis

Testing for neglected nonlinearity in time series models: a comparison of neural network methods and alternative tests

Essays in econometrics

Learning to communicate: the emergence of signaling in spatialized arrays of neural nets

Adaptive Behavior

The effect of training set distributions for supervised learning artificial neural networks on classification accuracy

Information management

Information and Meaning: Use-Based Models in Arrays of Neural Nets

Minds and Machines

A principled approach for building and evaluating neural network classification models

Decision Support Systems

Neural networks for event extraction from time series: a back propagation algorithm approach

Future Generation Computer Systems

Theoretical Properties of Projection Based Multilayer Perceptrons with Functional Inputs

Neural Processing Letters

Bootstrapping Neural Networks

Neural Computation

Detecting business cycle asymmetries using artificial neural networks and time series models

Computational Economics

Gaining competitive advantage for trading in emerging capital markets with neural networks

Journal of Management Information Systems - Special section: Strategic and competitive information systems

Grid enabled sequential design and adaptive metamodeling

Proceedings of the 38th conference on Winter simulation

Valid hypothesis testing in face of spatially dependent data using multi-layer perceptrons and sub-sampling techniques

Computational Statistics & Data Analysis

Cell-nuclear data reduction and prognostic model selection in bladder tumor recurrence

Artificial Intelligence in Medicine

An Empirical Analysis of Data Requirements for Financial Forecasting with Neural Networks

Journal of Management Information Systems

Piecewise nonlinear model for financial time series forecasting with artificial neural networks

Intelligent Data Analysis

Credit risk assessment with a multistage neural network ensemble learning approach

Expert Systems with Applications: An International Journal

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

Neural Computation

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

Neural Computation

Predicting admission counseling triumph of colleges using neural networks

AIKED'08 Proceedings of the 7th WSEAS International Conference on Artificial intelligence, knowledge engineering and data bases

A Hybrid ARCH-M and BP Neural Network Model For GSCI Futures Price Forecasting

ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007

A Hybrid Econometric-AI Ensemble Learning Model for Chinese Foreign Trade Prediction

ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007

Combined input variable selection and model complexity control for nonlinear regression

Pattern Recognition Letters

A neural-network-based nonlinear metamodeling approach to financial time series forecasting

Applied Soft Computing

The generalization performance of ERM algorithm with strongly mixing observations

Machine Learning

Improved bispectrum based tests for Gaussianity and linearity

Signal Processing

A hybrid pareto mixture for conditional asymmetric fat-tailed distributions

IEEE Transactions on Neural Networks

Determining the number of real roots of polynomials through neural networks

Computers & Mathematics with Applications

Predicting box-office success of motion pictures with neural networks

Expert Systems with Applications: An International Journal

Neural networks for event extraction from time series: a back propagation algorithm approach

Future Generation Computer Systems

Soft-computing models for soot-blowing optimization in coal-fired utility boilers

Applied Soft Computing

Revisiting tests for neglected nonlinearity using artificial neural networks

Neural Computation

A neural network-based approach of quantifying relative importance among various determinants toward organizational innovation

Expert Systems with Applications: An International Journal

Development and application of a simulation model for changes in land-use patterns under drought scenarios

Computers & Geosciences

Classification of time series generation processes using experimental tools: a survey and proposal of an automatic and systematic approach

International Journal of Computational Science and Engineering

Multistage neural network metalearning with application to foreign exchange rates forecasting

MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence

Credit risk analysis using a reliability-based neural network ensemble model

ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II

Two-Dimensional PCA combined with PCA for neural network based image registration

ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II

Isomap and neural networks based image registration scheme

ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II

Hybridizing exponential smoothing and neural network for financial time series predication

ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV

A dynamic meta-learning rate-based model for gold market forecasting

Expert Systems with Applications: An International Journal

A genetic-algorithm-based neural network approach for short-term traffic flow forecasting

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III

Bankruptcy prediction models based on multinorm analysis: An alternative to accounting ratios

Knowledge-Based Systems

Methodological triangulation using neural networks for business research

Advances in Artificial Neural Systems

A sequential neural network model for diabetes prediction

Artificial Intelligence in Medicine

Performance measures, consistency, and power for artificial neural network models

Mathematical and Computer Modelling: An International Journal

Determining functional relationships from trained neural networks

Mathematical and Computer Modelling: An International Journal

Country risk forecasting for major oil exporting countries: A decomposition hybrid approach

Computers and Industrial Engineering

Adaptive value function approximation for continuous-state stochastic dynamic programming

Computers and Operations Research

Review article: Achieving maximum reliability in fault tolerant network design for variable networks

Applied Soft Computing

Rainfall forecasting based on ensemble empirical mode decomposition and neural networks

IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I