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Journal Article
Neural Computing and Applications, ISSN 0941-0643, 7/2010, Volume 19, Issue 5, pp. 741 - 754
Journal Article
Neural Computing and Applications, ISSN 0941-0643, 4/2011, Volume 20, Issue 3, pp. 355 - 363
This paper evaluates the predictive accuracy of neural networks in forecasting exchange rate. The multi-layer perceptron (MLP) and radial basis function (RBF)... 
Neuron | Radial basis function (RBF) | Computer Science | Simulation and Modeling | Multi-layer perceptron (MLP) | Neural network | Exchange rate series | Predictive accuracy | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Forecasts and trends | Architecture | Comparative analysis | Neural networks | Business education
Journal Article
Promet - Traffic - Traffico, ISSN 0353-5320, 2012, Volume 24, Issue 6, pp. 455 - 467
Journal Article
Proceedings., 2nd Symposium on the Frontiers of Massively Parallel Computation, 1988, pp. 43 - 47
An implementation of a fully connected artificial neural network using the multilayered perceptron model is described. The neural network is implemented on a... 
Computer vision | Array signal processing | Neural networks | Artificial neural networks | Computer architecture | Multilayer perceptrons | Systolic arrays | Application software | Arithmetic | Multi-layer neural network
Conference Proceeding
ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing, ISSN 1520-6149, 1988, pp. 2160 - 2163 vol.4
The authors discuss two important aspects in multilayer feed-forward neural nets: the optimal number of hidden units per layer, and the optimal number of... 
Forward contracts | Neural networks | Neurons | Multilayer perceptrons | Feedforward neural networks | Feedforward systems | Sun | Equations | Multi-layer neural network | Convergence
Conference Proceeding
IEEE Control Systems Magazine, ISSN 0272-1708, 04/1989, Volume 9, Issue 3, pp. 44 - 52
A type of neural network, the multilayer perceptron, is used to classify numeric data and assign appropriate symbols to various classes. This... 
Fault diagnosis | Neural networks | Biological systems | Multilayer perceptrons | Control systems | Discrete event systems | Pattern recognition | Data mining | Multi-layer neural network | Fault trees
Journal Article
1989 IEEE International Symposium on Circuits and Systems (ISCAS), 1989, pp. 770 - 773 vol.2
A generic iterative model for artificial neural networks (ANNs) is proposed which covers a wide variety of existing neural networks: single-layer feedback... 
Neural networks | Neurons | Hidden Markov models | Artificial neural networks | Multilayer perceptrons | Feedforward neural networks | Feedforward systems | Equations | Neurofeedback | Multi-layer neural network
Conference Proceeding
Proceedings. IEEE International Symposium on Intelligent Control 1989, ISSN 2158-9860, 1989, pp. 418 - 423
The authors deal with a class of nonlinear neural networks which are capable of forming decision regions of higher complexity than the multilayer perceptron.... 
Biological system modeling | Neural networks | Neurons | Artificial neural networks | Multilayer perceptrons | Systems engineering and theory | Computer networks | Biological neural networks | Intelligent control | Multi-layer neural network
Conference Proceeding
IEEE Transactions on Circuits and Systems, ISSN 0098-4094, 05/1989, Volume 36, Issue 5, pp. 665 - 674
It is widely believed that the back-propagation algorithm in neural networks, for tasks such as pattern classification, overcomes the limitations of the... 
Circuits and systems | Neural networks | Pattern classification | Physics | Multi-layer neural network | Logistics | K IQ ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
Proceedings. ICCON IEEE International Conference on Control and Applications, 1989, pp. 892 - 893
A perspective view of recent developments in neural networks and their possible implications to identification and control is given. A general framework is... 
Distributed processing | USA Councils | Neural networks | Artificial neural networks | Multilayer perceptrons | Educational institutions | Resonance | Force control | Neurofeedback | Multi-layer neural network
Conference Proceeding
International Conference on Acoustics, Speech, and Signal Processing, ISSN 1520-6149, 1989, pp. 2521 - 2523
Some key issues in the design of neural nets for pattern classification are topology and associated training samples required to obtain adequate performance... 
Computer science | Identity-based encryption | Network topology | Neural networks | Supervised learning | Sonar | Pattern classification | Multilayer perceptrons | Testing | Multi-layer neural network
Conference Proceeding
Proceedings. Electrotechnical Conference Integrating Research, Industry and Education in Energy and Communication Engineering, 1989, pp. 197 - 200
The momentum least-mean square (MLMS) algorithm, a modified version of the well-known LMS algorithm, has recently been proposed, and an analysis of its basic... 
Algorithm design and analysis | Difference equations | Neural networks | Multilayer perceptrons | Eigenvalues and eigenfunctions | Steady-state | Least squares approximation | Convergence | Multi-layer neural network | Arithmetic
Conference Proceeding
Proceedings of the 33rd Midwest Symposium on Circuits and Systems, 1990, pp. 84 - 87 vol.1
The motivation for the research presented is the idea of using seismic information to verify compliance with respect to a comprehensive test ban treaty. A... 
Adaptive systems | Neural networks | Earthquakes | Adaptive filters | Multilayer perceptrons | Signal generators | Nuclear power generation | Line enhancers | Testing | Multi-layer neural network
Conference Proceeding
1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings, ISSN 0884-3627, 1990, pp. 178 - 181
A general principle of problem decomposition and subgoaling is proposed for designing an artificial neural network (ANN) and its learning algorithms. The basic... 
Algorithm design and analysis | Computer science | Intelligent networks | Clustering algorithms | Artificial neural networks | Backpropagation algorithms | Very large scale integration | Application software | Convergence | Multi-layer neural network
Conference Proceeding
Proceedings of the IEEE, ISSN 0018-9219, 10/1990, Volume 78, Issue 10, pp. 1595 - 1598
A three-layer perceptron that uses the nearest-neighbor pattern classification rule is presented. This neural network is of interest because it is designed... 
Algorithm design and analysis | Process design | Neural networks | Pattern classification | Multilayer perceptrons | Polynomials | Computer networks | Feedforward neural networks | Nearest neighbor searches | Multi-layer neural network | ENGINEERING, ELECTRICAL & ELECTRONIC
Journal Article
[1990] Proceedings of the International Conference on Application Specific Array Processors, 1990, pp. 700 - 711
A systolic array for multidimensional fitting and interpolation using (nonlinear) radial basis functions (RBFs) is proposed. The fit may be constrained very... 
Interpolation | Multidimensional systems | Neural networks | Adaptive filters | Multilayer perceptrons | Systolic arrays | Surface fitting | Pattern recognition | Feedforward neural networks | Multi-layer neural network
Conference Proceeding
[1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society, ISSN 0589-1019, 1990, Issue 3, pp. 1453 - 1454
Conference Proceeding
Proceedings., IEEE International Conference on Robotics and Automation, 1990, pp. 1704 - 1709 vol.3
A form of adaptive model-based control is proposed and experimentally evaluated. An adaptive model-based neural network controller (AMBNNC) uses multilayer... 
Programmable control | Adaptive systems | Neural networks | Artificial neural networks | Trajectory | Adaptive control | Motion control | Manipulator dynamics | Payloads | Multi-layer neural network
Conference Proceeding
1990 IEEE International Symposium on Circuits and Systems (ISCAS), 1990, pp. 2500 - 2503 vol.4
The use of multilayer perceptrons (MLP) in the realization of arbitrary functions which map from a finite subset of E/sup n/ into E/sup m/ is investigated. A... 
Intelligent networks | Upper bound | Neurons | Neural networks | Multilayer perceptrons | Nonhomogeneous media | Hypercubes | Multi-layer neural network | Convergence
Conference Proceeding
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