Neural network

Artificial intelligence (46)
Expert system (8)
Machine intelligence (4)
Machine learning (35)
Neural network (21)

Synopsis: Ict: Artificial intelligence: Neural network:

Other techniques of knowledge discovery, such as neural networks, genetic algorithms, induction or other multistrategy machine learning hybrid tools PIA 91

G#2v 7880 Neural network 0#3#neural network Neural network G#1v 6917 Artificial life 0#2#artificial life Artificial life

G#1v 6918 Bionics G#2v 6919 Bionic man 0#3#bionic man Bionic man G#2v 6920 Bionics

which included Z-Scores, ZETA Scores, and Neural networks NN). ) The strengths and weaknesses of each model were exposed

while Z-Scores, ZETA Scores, and Neural networks are examples of models that relate to internal factors

such as the ZETA and Neural networks models, require a high level of information intensity. That implies the need for detailed data,

Examples for such models are the ZETA model, the Neural networks model, and the SIV model.

The other group includes Z-Scores, ZETA Scores, Neural networks, and the SIV model These are more suitable to the investigation of firm performance in relation to the internal

such as the ZETA and Neural networks models, require a high information intensity level. Such a requirement can be a problem

using linear discriminant analysis and neural networks (the Italian experience. Journal of Banking and Finance 18 (3), 505†529

Neural networks versus logistic regression in predicting bank failure. In R. P. Srivastava (ed.)Auditing Symposium. Vol:

Data mining with neural networks: Solving business problems from application development to decision support. Mcgraw-hill, Inc. Hightstown, New

Neural networks and the mathematics of chaos†an investigation of these methodologies as accurate predictors of corporate bankruptcy.

Generalization with neural networks. Decision Support systems 11 (5), 527†545 Edvinsson, L. and Malone, M. S. 1997.

bankruptcies using a neural network approach. Journal of Financial Management and Analysis 13 (19), 44†49

Performance evaluation of neural network decision models Journal of Management Information systems 14 (2), 201†216 Jaques, E. 1951.

data effects on the classification accuracy of probit, ID3 and neural networks Contemporary Accounting Research 9 (1), 306†328

Trading equity index futures with a neural network: A machine learning-enhanced trading strategy. The Journal of Portfolio Management

to storing and enforcing high-level information include neural networks, expert systems, statistical association, conditional probability distributions, diï €erent

IEEE Transactions on Neural networks 13 (4 793†810 (2002 18. Qian, R.,Haering, N.,Sezan, I.:

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