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Nowadays neural computation has become an interdisciplinary field in its own right; researches have been conducted ranging from diverse disciplines, e.g. computational neuroscience and cognitive science, mathematics, physics, computer science, and other engineering disciplines. From different perspectives, neural computation provides an alternative methodology to understand brain functions and cognitive process and to solve challenging real-world problems effectively.

Trends in Neural Computation includes twenty chapters either contributed from leading experts or formed by...

The application of Computational Intelligence in emerging research areas such as Granular Computing, Mechatronics, and Bioinformatics shows its usefulness often emphasized by Prof Lotfi Zadeh, the inventor of fuzzy logic and many others. This book contains recent advances in Computational Intelligence methods for modeling, optimization and prediction and covers a large number of applications. The book presents new Computational Intelligence theory and methods for modeling and prediction. The range of the various applications is captured with 5 chapters in image processing, 2 chapters in...

Although many believe that archaeological knowledge consists simply of empirical findings, this notion is false; data are generated with the guidance of theory, or some sense-making system acting in its place whether researchers recognize this or not. Failure to understand the relationship between theory and the empirical world has led to the many debates and frustrations of contemporary archaeology.

Despite years of trying, the atheoretical, empiricist foundations of archaeology have left us little but a history of storytelling and unsatisfying generalizations about historical change...