By Joarder Kamruzzaman, Rezaul K. Begg, Ruhul A. Sarker
Of crucial components contributing to nationwide and overseas financial system are processing of knowledge for exact monetary forecasting and determination making in addition to processing of data for effective keep watch over of producing platforms for elevated productiveness. The linked difficulties are very advanced and traditional tools usually fail to provide appropriate suggestions. additionally, companies and industries constantly search for more desirable options to spice up profitability and productiveness. in recent years, man made neural networks have verified promising leads to fixing many real-world difficulties in those domain names, and those suggestions are more and more gaining company and attractiveness one of the practitioners.Artificial Neural Networks in Finance and production offers many state of the art and various purposes to finance and production, besides underlying neural community theories and architectures. It deals researchers and practitioners the chance to entry intriguing and state-of-the-art examine concentrating on neural community purposes, combining elements of monetary area in one and consolidated quantity.
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1999) presented a method for an automated quality control of textile seams, which is aimed to establish a standardized quality measure and to lower cost in manufacturing. The system consists of a suitable image acquisition setup, an algorithm for locating the seam, a feature extraction stage, and a neural network of the selforganizing map type for feature classification. Other Applications Applications of neural network in other problems such as industrial pattern recognition (Yao, Freeman, Burke, & Yang, 1991), identification of appropriate decision criteria (Chryssolouris, Lee, & Domroese, 1991), agile and flexible manufacturing (Shimizu, Tanaka, & Kawada, 2004) and economic order quantity (Ziarati, 2000) have also been reported in the literature.