Well commented C++ code is given for every algorithm and technique.
The ultimate purpose of this text is three-fold. The first goal is to open the eyes of serious developers to some of the hidden pitfalls that lurk in the model development process. The second is to provide broad exposure for some of the most powerful model enhancement algorithms that have emerged from academia in the last two decades, while not bogging down readers in cryptic mathematical theory. Finally, this text should provide the reader with a toolbox of ready-to-use C++ code that can be easily incorporated into his or her existing programs.
|Edition description:||New Edition|
|Product dimensions:||7.44(w) x 9.69(h) x 1.14(d)|
About the Author
Practical Neural Network Recipes in C++ (Academic Press, 1993)
Signal and Image Processing with Neural Networks (Wiley, 1994)
Advanced Algorithms for Neural Networks (Wiley, 1995)
Neural, Novel, and Hybrid Algorithms for Time Series Prediction (Wiley, 1995)