The Essentials ofComputer(computer) 470

The Essentials ofComputer(computer) 470 - 32 With respect...

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27. Do neural networks process information sequentially? Explain. 28. Compare and contrast supervised learning and unsupervised learning with regard to neural networks. 29. Describe the process of supervised learning in neural networks from a mathematical perspective. 30. These two questions deal with a single perceptron of a neural network. a) The logical NOT is a little trickier than AND or OR, but can be done. In this case, there is only one Boolean input. What would the weight and threshold be for this perceptron to recognize the logical NOT operator? b) Show that it is not possible to solve the binary XOR problem for two inputs, x 1 and x 2 , using a single perceptron. 31. Explain the differences between SIMD and systolic array computing when the sys- tolic array is one-dimensional.
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Unformatted text preview: 32. With respect to Flynn’s taxonomy, where do systolic arrays fit? What about clusters of workstations? 33. Indicate whether each of the following applies to CISC or RISC by placing either a C (for CISC) or an R (for RISC) in the blank. _____ 1. Simple instructions averaging one clock cycle to execute. _____ 2. Single register set. _____ 3. Complexity is in the compiler. _____ 4. Highly pipelined. _____ 5. Any instruction can reference memory. _____ 6. Instructions are interpreted by the microprogram. _____ 7. Fixed length, easily decoded instruction format. _____ 8. Highly specialized, infrequently used instructions. _____ 9. Use of overlapping register windows. _____ 10. Relatively few addressing modes....
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