Artificial Neural Networks in Finance and Manufacturing by Joarder Kamruzzaman, Rezaul K. Begg, Ruhul A. Sarker PDF
By Joarder Kamruzzaman, Rezaul K. Begg, Ruhul A. Sarker
Of crucial elements contributing to nationwide and foreign financial system are processing of knowledge for exact monetary forecasting and selection making in addition to processing of knowledge for effective regulate of producing structures for elevated productiveness. The linked difficulties are very advanced and traditional tools usually fail to supply appropriate suggestions. additionally, companies and industries continuously search for stronger strategies to spice up profitability and productiveness. in recent years, man made neural networks have verified promising ends up in fixing many real-world difficulties in those domain names, and those suggestions are more and more gaining enterprise and recognition one of the practitioners.Artificial Neural Networks in Finance and production offers many cutting-edge and numerous functions to finance and production, in addition to underlying neural community theories and architectures. It bargains researchers and practitioners the chance to entry interesting and state-of-the-art examine concentrating on neural community functions, combining points of financial area in one and consolidated quantity.
Read or Download Artificial Neural Networks in Finance and Manufacturing PDF
Best manufacturing books
This ebook comprises papers provided on the eleventh Symposium of desktop Aided procedure Engineering (ESCAPE-11), held in Kolding, Denmark, from could 27-30, 2001. the target of ESCAPE-11 is to spotlight using pcs and knowledge know-how instruments, that's, the conventional CAPE subject matters in addition to the recent CAPE subject matters of present and destiny pursuits.
This is often a useful five-volume reference at the very extensive and hugely major topic of laptop aided and built-in production structures. it's a set of fairly titled and well-harmonized volumes through top specialists at the overseas scene. The suggestions and applied sciences utilized in computing device aided and built-in production structures have produced, and may doubtless proceed to supply, significant annual advancements in productiveness, that is outlined because the items and companies made from every one hour of labor.
Content material: Preface, Pages xvii-xix1 - advent to communications, Pages 1-142 - Networking basics, Pages 15-423 - Ethernet networks, Pages 43-584 - quick and gigabit Ethernet platforms, Pages 59-735 - advent to TCP/IP, Pages 74-776 - web layer protocols, Pages 78-1217 - Host-to-host (transport) layer protocols, Pages 122-1328 - software layer protocols, Pages 133-1619 - TCP/LP utilities, Pages 162-17310 - LAN method elements, Pages 174-19011 - the web, Pages 191-19712 - web entry, Pages 198-20213 - the web for communications, Pages 203-21514 - defense concerns, Pages 216-23315 - method automation, Pages 234-24216 - fitting and troubleshooting Ethernet platforms, Pages 243-24817 - Troubleshooting TCP/IP, Pages 249-25418 - Satellites and TCP/IP, Pages 255-269Appendix A - thesaurus, Pages 270-289Appendix B - Port quantity allocation, Pages 290-291Index, Pages 293-306
Content material: v. 1. Compressed sturdy items -- v. 2. Uncompressed stable items -- v. three. Liquid items -- v. four. Semisolids items -- v. five. over the counter items -- v. 6. Sterile items.
- Manufacturing excellence : renewal and rebirth
- A Journey through Manufacturing and Supply Chain Strategy Research: A Tribute to Professor Gianluca Spina
- Product Development: A Structured Approach to Design and Manufacture
- Kansei innovation : practical design applications for product and service development
Extra resources for Artificial Neural Networks in Finance and Manufacturing
Journal of Quality in Maintenance Engineering, 6(2), 86-105. Knapp, G. , & Wang, H. P. (1992). Machine fault classification. A neural network approach. International Journal of Production Research, 30(4), 811-823. Kohonen, T. (1988). Self-organisation and associative memory. New York: SpringerVerlag. Kong, L. , & Nahavandi, S. (2002). On-line tool condition monitoring and control system in forging processes. Journal of Materials Processing Technology, 125126, 464-470. Kruschke, J. K (1989). Improving generalization in backpropagation networks with distributed bottlenecks.
The following research utilizes an information-gain technique from machine learning to evaluate the predictive relationships of numerous financial and economic input variables. Neural network models for level estimation and classification are then examined for their ability to provide an effective forecast of future values. A cross-validation technique is also employed to improve the generalization ability of the models. The results show that the classification models generate higher accuracy in forecasting ability than the buy-and-hold strategy, as well as those guided by the level-estimation-based forecasts of the neural network and benchmark linear regression models.
A bibliography of neural network business applications research: 1994-1998. Computer & Operation Research, 27, 1045-1076. Wong, S. , & Hamouda, A. M. S. (2003). Machinability data representation with artificial neural network. Journal of Materials Processing Technology, 138, 538-544. Wu, B. (1992). An introduction to neural networks and their applications in manufacturing. Journal of Intelligent Manufacturing, 3, 391-403. , & Wang, D. (2000). Constraint satisfaction adaptive neural network and heuristics combined approaches for generalized job-shop scheduling.
Artificial Neural Networks in Finance and Manufacturing by Joarder Kamruzzaman, Rezaul K. Begg, Ruhul A. Sarker