Neural Networks in Finance pdf epub mobi txt 电子书下载 2025

简体网页||繁体网页

☆☆☆☆☆

出版者:Academic Press

作者:Paul D. McNelis

出品人:

页数:256

译者:

出版时间:2004-12-22

价格:USD 74.95

装帧:Hardcover

isbn号码:9780124859678

丛书系列:

图书标签:

finance
金融
统计学
Networks
AI
神经网络
数学
quant

下载链接在页面底部

facebook linkedin mastodon messenger pinterest reddit telegram twitter viber vkontakte whatsapp 复制链接

想要找书就要到图书目录大全

book.wenda123.org

立刻按 ctrl+D收藏本页

你会得到大惊喜!!

This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction.

McNelis utilizes a variety of examples, from forecasting automobile production and corporate bond spread, to inflation and deflation processes in Hong Kong and Japan, to credit card default in Germany to bank failures in Texas, to cap-floor volatilities in New York and Hong Kong.

* Offers a balanced, critical review of the neural network methods and genetic algorithms used in finance

* Includes numerous examples and applications

* Numerical illustrations use MATLAB code and the book is accompanied by a website