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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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發(fā)表于 2025-3-23 12:25:52 | 只看該作者
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發(fā)表于 2025-3-24 00:42:18 | 只看該作者
Tragisches Handeln in Raum und Zeitment .. Measurement features are linear or non-linear measurement functions that are linearly correlated during rapid learning operation. The result of computing and utilizing such features is a rapid learning system that deals with many linear and non-linear applications. In addition, the system is
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發(fā)表于 2025-3-24 03:18:01 | 只看該作者
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發(fā)表于 2025-3-24 08:43:47 | 只看該作者
https://doi.org/10.1007/978-3-0348-5200-5ng system supplies control signals to processes outside the rapid learning system. To implement automatic refinement, the system uses monitoring and refinement statistics to control feature functions inside the rapid learning system (see section 8.2). In either case, automatic control and refinement
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發(fā)表于 2025-3-24 21:21:37 | 只看該作者
The Rapid Learning Neuro-Computing SystemThe remainder of the chapter introduces the operational . . package and describes it in detail. The use of this software package is emphasized, because it is the only available system for concurrent learning and information processing at this time.
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發(fā)表于 2025-3-25 00:28:02 | 只看該作者
Rapid Learning Modelsd learning neuro-computing system components. Section 4.2 describes a corresponding biological neural network model, section 4.3 describes a closely related mental process model, and section 4.4 describes a corresponding statistical model.
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