Principles of neurocomputing for science and engineering. /
Frederick M Ham
- New York: McGraw - Hill, 2001.
- xxx, 642 p.: ill.; 24cm.
Includes index.
Contents: Introduction to neurocomputing -- Fundamental neurocomputing concepts -- Mapping networks -- Self -organizing networks and temporal feedforward networks -- Neural networks for optimization problems -- Solving matrix algebra problems with neural networks -- Solution of linear algebriac equations using neural networks -- Statistical methods using neural networks -- Identification, control and estimation using neural networks -- App A: Mathematical foundation for neurocomputing.