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we have two categories of vectors category i consists ofcategory ii consists ofwe want to train a single-neuron adaline
an open-circuit wind tunnel draws in sea-level standard air and accelerates it through a contraction into a 1 m-by-1 m
an inflatable backyard swimming pool is being filled from a garden hose with a flowrate of 012 galsa if the pool is 8
a new jet engine is being tested in a wind tunnel as illustrated in the following figure air with standard properties
for the following velocity fielda determine the acceleration noting the local and convective components andb determine
1 could you reduce friction in a pipe by coating the pipe wall with teflon why or why not2 the flow of water in a 4 mm
blood is a very interesting fluid a suspension of red and white blood cells and platelets in a liquid plasma we would
crude oil flows through a level section of the alaskan pipeline at a rate of 16 million barrels per day 1 barrel 42
the drag on a 2-m-diameter satellite dish due to an 80 kmh wind is to be determined through wind tunnel testing on a
water is flowing through a circular channel at the rate of 400litressecwhen the channel is having a bed slope of 1 in
the homogeneous cylinder of weight w and radius r rests in a groove of width 2b determine the smallest force p required
determine the magnitude of the pin reaction at a assuming the weight of bar abc to be
the bar abc of negligible weight is supported by a pin at a and a rope that runs around the small pulley at d and the
the breaking strength of the cable fg that supports the portable camping stool is 400 lb determine the maximum weight w
the 80-n force is applied to the handle of the embosser at e determine the resulting normal force exerted on the
the tongs shown are designed for lifting blocks of ice if the weight of the ice block is w find the horizontal force
the input to a single-input neuron is 20 its weight is 23 and its bias is -3i what is the net input to the transfer
what is the output of the neuron of p21 if it has the following transfer functionsi hard limitii lineariii
a single-layer neural network is to have six inputs and two outputs the outputs are to be limited to and continuous
consider a single-input neuron with a bias we would like the output to be -1 for inputs less than 3 and 1 for inputs
we want to design a perceptron network to output a 1 when either of these two vectors are input to the networkand to
convert the classification problem defined below into an equivalent problem definition consisting of inequalities
we have a classification problem with four classes of input vector the four classes aredesign a perceptron network to
in this chapter we have designed three different neural networks to distinguish between apples and oranges based on
a two-layer neural network is to have four inputs and six outputs the range of the outputs is to be continuous between