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each of the sandbags piled on the 250-lb uniform beam weighs 12 lb determine the support reactions at a and
the bars ab and bc of the structure are each of length l and weigh w and 2w respectively find the tension in cable de
the masses of the frictionless cylinders a and b are 20 kg and 10 kg respectively the smallest value of the force p
determine the axle loads normal forces at a b and c for the ore hauler when it is parked on a horizontal roadway with
the linkage of the braking system consists of the pedal arm dab the connecting rod bc and the hydraulic cylinder c at
the uniform 20-kg bar is placed between two vertical surfaces assuming sufficient friction at a to support the bar find
the breaking strength of the cable fg that supports the portable camping stool is 400 lb determine the maximum weight w
given a two-input neuron with the following parameters b 12 w 3 2 and p -5 6t calculate the neuron output for the
the symmetric hard limit function is sometimes used in perceptron networks instead of the hard limit function target
consider the classification problem defined belowi draw a diagram of the single-neuron perceptron you would use to
which of the following sets of vectors are independent find the dimension of the vector space spanned by each set
consider a perceptron network with the following weights and biasi write out the equation for the decision boundaryii
1 consider the set of all continuous functions that satisfy the condition fnof0 0 show that this is a vector space2
suppose that we have the following three reference patterns and their targetsi draw the network diagram for a linear
the pilot of an airplane is talking into a microphone in his cockpit the sound received by the air traffic controller
consider the system of problem p103 again train the network using the lms algorithm with the initial guess set to zero
suppose that we have the following inputtarget pairsthese patterns occur with equal probability and they are used to
in figure p1110 we have a network that is a slight modification to the standard two-layer feedforward network it has a
the backpropagation algorithm is used to compute the gradient of the squared error with respect to the weights and
in this problem and in the following one we want to investigate the relationship between maximum likelihood methods and
investigate the extrapolation characteristics of neural networks and polynomials consider the problem described in
write out the equations of operation for the network in figure e143 assume that all weights have a value of 05 and that
consider the network in figure e144i write out the equations for computing the network responseii write out the bptt
assessmentquestions1 list the 3 types of resource that can form part of the cost to complete a task on a building
water from a stationary nozzle strikes a flat plate directed normal to the plate as shown in the figure the velocity of