Titlebook: Concurrent Learning and Information Processing; A Neuro-Computing Sy Robert J. Jannarone Book 1997 Chapman & Hall 1997 control.energy.infor

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Book 1997d is a newneuro-computing system that learns in real-time, even when dataarrival rates are several million measurements per second. The bookdescribes benefits and features of the system, statistical foundationsfor the system, and several related models. .The book also describes available system software.

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n presented is a newneuro-computing system that learns in real-time, even when dataarrival rates are several million measurements per second. The bookdescribes benefits and features of the system, statistical foundationsfor the system, and several related models. .The book also describes available system software.978-1-4613-8049-8978-1-4613-0431-9

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Monitoring and Forecasting Detailse not described in detail in this chapter, because they are covered elsewhere (see chapter 5, chapter 6). As in previous chapters, mathematical details may be skipped without missing essential information (see sections 7.1.4 and 7.2.3).

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Rapid Learning Applications they are arranged throughout this book, into three main application areas: adaptive . (see section 1.1), . (see section 1.2), and . (see section 1.3). This chapter describes another important aspect of concurrent learning as well: automatic model . (see section 1.4).

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Walter B. Essman,Eric J. Essmand chemical processes must be dynamically coupled. This informal colloquium examined topics relevant to the associ­ ation of pollutant and sediment. These included the mineral particle surfaces and the surrounding ionic associations, methods of describing the particles and the physical, chemical, biochemical a978-1-4684-4765-1978-1-4684-4763-7