Neural network for two predictors thickness, Computer Engineering

2) Consider the following neural network for two predictors Thickness and Alignment and two classes Print Quality High and Low. Some weights are shown in the table, including weights for constant (threshold) nodes that link to each output node.

2221_Neural Network for two Predictors Thickness.png

Suppose input data row x0 produces z1 = 0.5 at node H1 and z2 = 0.4 at node H2. Assume the softmax function is used at the outputs. Compute the output at each output node. To what Print Quality class is row x0 assigned?

Posted Date: 3/21/2013 2:24:15 AM | Location : United States







Related Discussions:- Neural network for two predictors thickness, Assignment Help, Ask Question on Neural network for two predictors thickness, Get Answer, Expert's Help, Neural network for two predictors thickness Discussions

Write discussion on Neural network for two predictors thickness
Your posts are moderated
Related Questions
The verification method states how Robot compares the baseline data captured while recording with the data captured during playback.

Describe the operation of voltage to frequency ADC. Ans: A voltage-to-frequency converter i.e. VFC is an oscillator that frequency is linearly proportional to a control volt

MsgBox is a built in VB function which shows a Message Box and MsgBoxQ is a function definite by the user.

Electronic Data Interchange (EDI ) is used by companies for transactions that happen on regular basis to a pre-determined format. It is one of the electronic commerce technologies.

How do you save data in BDC tables? The data in BDC tables is saved by using the field name 'BDC_OKCODE' and field value of '/11'.


Q. Explain Integrated Disk Electronics Devices? IDE devices are associated to PC motherboard by a 34-wire ribbon cable. Common drive used today for workstations has capacities

what is boundary filling explain with example

Give the difference between multiprogramming and multiprocessing. A multiprocessing system is a computer hardware configuration which contains more than one independent proc

Neural architectures are appealing as mechanisms for implementing intelligence for a number of reasons. Traditional AI programs tend to be brittle and overly sensitive to noise