Although neural and connectionist models have been known for decades, their first appearance in chemical engineering was as late as 1988. This book is an attempt to expedite a cautious intake of neural networks into chemical engineering.
Besides core chemical engineering, it includes applications in process engineering, biochemical engineering, and metallurgical engineering. Of the 27 chapters, six cover theoretical issues and the remaining 21 cover applications.
