This book focuses on forecasting foreign exchange rates via artificial neural networks (ANNs), creating and applying the highly useful computational techniques of Artificial Neural Networks (ANNs) to foreign-exchange rate forecasting. The result is an up-to-date review of the most recent research developments in forecasting foreign exchange rates coupled with a highly useful methodological approach to predicting rate changes in foreign currency exchanges.

As a follow-up to the previous four volumes of Intelligent Engineering Systems Through Artificial Neural Networks by the same editor, the present volume contains the edited versions of the technical presentations of ANNIE '95, held November, 1995 in St. Louis, Missouri. The 160-some contributions are grouped into six categories: artificial neural network architectures (including subsections on architectures and learning algorithms and training); fuzzy neural networks and systems; evolutionary programming; pattern recognition; adaptive control; and smart engineering system design (including bio-medical engineering systems; signal processing; forecasting; environmental applications; machining and robotics; process control, monitoring, and automated inspection; and general engineering). Includes bandw photographs, diagrams, and charts. Annotation copyright by Book News, Inc., Portland, OR

These two volumes are the papers presented at the International Conference on Neural Information Processing (ICONIP'96) held in Hong Kong, 24-27 September 1996. Over three hundred selected papers make up two volumes of 700 pages each. Featured topics of Volume 1 are Learning Theories and Algorithms, Speech and Signal Processing, Pattern Recognition and Image Processing, Recurrent Networks, Automata and Dynamics. Volume 2 focusses on Financial Engineering and Time Series Forecasting, Evolutionary Computing, Neurosciences and Biophysics, Neural Control and Robotics, Hardware Implementations, Hybrid Systems and Applications, plus a number of Special Sessions. Other topics covered include image processing, computer vision, fuzzy logic, pattern recognition, algorithms and architectures, and financial engineering. These two volumes combine to cover the major topics in neural information processing and reflect the latest progress with a good balance between scientific studies and industrial applications, a well as featuring neural information processing approaches on financial engineering.

Proceedings Annie Conference, November 2006, St. Louis, Missouri. The newest volume in this series presents refereed papers in the following categories and their applications in the engineering domain: Neural Networks; Complex Networks; Evolutionary Programming; Data Mining; Fuzzy Logic; Adaptive Control; Pattern Recognition; Smart Engineering System Design. These papers are intended to provide a forum for researchers in the field to exchange ideas on smart engineering system design.