第十一章 Elman neural network:Elman neural network11.1Architecture and principle of Elman:Architecture and principle of Elman
11.2Algorithm and Stability of Elman:Algorithm and Stability of Elman
11.3Application case Ⅰ:Application case Ⅰ
11.4Application case Ⅱ:Application case Ⅱ
[单选题]The characteristic of Elman neural network is that the output of the hidden layer is delayed and stored by the feedback layer, and the feedback is connected to the input of the hidden layer, which has the function of information storage. ( )

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[单选题]In Elman network, the transfer function of feedback layer is nonlinear function, and the transfer function of output layer islinear function.( )

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[单选题]The feedback layer is used to memorize the output value of the previous time of the hidden layer unit and return it to the input. Therefore, Elman neural network has dynamic memory function.( )

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[单选题]The neurons in the hidden layer of Elman network adopt the tangent S-type transfer function, while the output layer adopts the linear transfer function. If there are enough neurons in the feedback layer, the combination of these transfer functions can make Elman neural network approach any function with arbitrary precision in finite time.( )

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[单选题]Elman neural network is a kind of dynamic recurrent network, which can be divided into full feedback and partial feedback. In the partial recurrent network, the feedforward connection weight can be modified, and the feedback connection is composed of a group of feedback units, and the connection weight cannot be modified. ( )

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