Consider a three layer neural network with one output unit, 10 hidden units at each hidden layer, and a five dimensional augmented feature vector as inputs. (a) Draw the network.(b) Write down the general expression on the derivative of the error function with respect to a weight using back error propagation (i. e., gradient decent).

Using least squares fitting, you are to fit the data sets to the following models and solve for the parameters ai , where i is the index of the parameter. the input/output data for the systems are linked in the bblearn site. for each of the systems use matlab to plot the supplied data vs. the model fit on one plot. include your code in the solutions. (a) linear fit "lineardata.mat" y=a1x^3 + a2x^2 + a3x + a4 (b) plant fit "plantdata.mat g(s) = a1/(s + a2)

Be sure to answer all parts. synthesize the following compound from benzene. a. b. c. d. e. f. reaction [1] conditions: a b c d e f reaction [1] product: draw structure reaction [2] conditions: a b c d e f reaction [2] product: draw structure reaction [3] conditions: a b c d e f reaction [3] product:

Which of the following terms refers to a collection of different types of software that share the goal of infiltrating a computer and making it do something? a- malware b- virus c- spyware d- trojan horse