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NEW QUESTION: 1
You need to configure toast notifications for the photo competition. Which code segment should you use?
A. ((XmlElement)currentTemplate.GetElementsByTagName("toast")[0]).SetAttribute("duration", "long");
B. ((XmlElement)currentTemplate.CreateElement("duration")).SetAttribute("value", "long");
C. ((XmlElement)currentTemplate.GetElementsByTagName("toast")[0]).SetAttribute("duration", "short");
D. ((XmlElement)currentTemplate.CreateElement("notify")).SetAttribute("duration", "5000");
Answer: A
NEW QUESTION: 2
A cost-plus-incentive-fee (CPIF) contract has an estimated cost of $150,000 with a predetermined fee of $15,000 and a share ratio of 80/20. The actual costs of the project is $130,000. How much profit does the seller make?
A. none of the above
B. $19,000
C. $15,000
D. $31,000
Answer: B
NEW QUESTION: 3
The reason(s) for not marking the customer Specification Limits (SL) on a Control Chart is which of these?
(Note: There are 4 correct answers).
A. By marking the SLs, one can confuse the operator as to what limits are critical
B. Process control teams should not control a process based on SLs
C. Marking the SLs on a Control Chart is against the principle of charting
D. Displaying the SLs on a Control Chart sends a wrong signal toward process control
E. By using mere Control Limits the process only needs to be in Statistical Control
Answer: A,B,D,E
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 4
The equation Z = f [wn in ], where Z is the output, wn are weighting
functions, and in is a set of inputs describes:
A. An expert system
B. A knowledge acquisition system
C. An artificial neural network (ANN)
D. A knowledge-based system
Answer: C
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.
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