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Neural three-valued-logic networks

机译:神经三值逻辑网络

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Summary form only given. The authors propose a novel neuralnetwork called neural-logic network which attempts to incorporate boththe pattern processing and the logical reasoning capabilities within asingle frame of neural network environment. This class of neuralnetworks can model classical 2-valued Boolean logic effectively. Inaddition, it is an ideal model to study `human logic' which ismultivalued, fuzzy, and biased. A neural application of neural-logicnetworks is the study of connectionist expert systems
机译:仅提供摘要表格。作者提出了一种新颖的神经网络,称为神经逻辑网络,它试图将模式处理和逻辑推理功能整合到神经网络环境的单一框架中。这类神经网络可以有效地建模经典的2值布尔逻辑。此外,它是研究多值,模糊和有偏见的“人的逻辑”的理想模型。神经逻辑网络的神经应用是连接专家系统的研究

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