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Let us take a look of the features of them as follows.

NEW QUESTION: 1
Der Befehl dpkg -____ stellt Konfigurationsfragen für ein bestimmtes Paket, als ob das Paket zum ersten Mal installiert würde.
Answer:
Explanation:
neu konfigurieren

NEW QUESTION: 2
データセンターは最近違反を経験しました。アクセスが得られたときに、RFデバイスを使用してエアギャップのあるロックされたサーバーラックにアクセスしました。次のうち、このタイプの攻撃を防ぐのに最適なのはどれですか？
A. 赤外線検出
B. アラーム
C. スマートカード
D. ファラデーケージ
Answer: D

NEW QUESTION: 3
The equation Z = f [wn in ], where Z is the output, wn are weighting
functions, and in is a set of inputs describes:
A. A knowledge acquisition system
B. An expert system
C. A knowledge-based system
D. An artificial neural network (ANN)
Answer: D
Explanation:
The equation defines a single layer ANN as shown in Figure.

Each input, in, is multiplied by a weight, wn , and these products are fed into a summation transfer function, , that generates an output,
Z. Most neural networks have multiple layers of summation and weighting functions, whose interconnections can also be changed. There are a number of different learning paradigms for neural networks, including reinforcement learning and back propagation. In reinforcement learning a training set of inputs is provided to the ANN along with a measure of how close the network is coming to a solution. Then, the weights and connections are readjusted. In back propagation, information is fed back inside the neural network from the output and is used by the ANN to make weight and connection adjustments. *Answers An expert system and A knowledge-based system are distracters that describe systems that use knowledge-based rules of experts to solve problems using an inferencing mechanism. *A knowledge acquisition system refers to the means of identifying and acquiring the knowledge to be entered into the knowledge base of an expert system.