Joarder Kamruzzaman – Artificial Neural Networks in Finance & Manufacturing

Processing of information for accurate financial forecasting and decision making as well as processing of information for efficient control of manufacturing systems for increased productivity are two of the most important factors contributing to national and international economy. Conventional methods fail to produce acceptable solutions to the associated problems. Businesses and industries look for superior solutions to boost profitability. Artificial neural networks have shown promising results in solving many real-world problems, and these techniques are gaining business and industry acceptance. Many state-of-the-art and diverse applications to finance and manufacturing are presented in Artificial Neural Networks in Finance and Manufacturing. It offers researchers and practitioners the opportunity to access exciting and cutting-edge research focusing on neural network applications, combining two aspects of economic domain in a single and consolidated volume.