Nn Unit Iv

SRI SARATHI INSTITUTE OF ENGINEERING AND TECHNOLOGY – NUZVID IV B.Tech – II Semester – IV UNIT Examinations.

Branch: CSE IV year networks.

I. fill in the blanks

Subject: Neural

5 X 1 = 5 Marks

1. The Hopfield N/W was developed by___________________________ 2. The N/W was very sophisticated and based on___________________________ 3. Hopfield provided the important link between_____________________________________________ 4. Hopfield applied some ideas to those from an important and developing area of__________________ 5. The output is again recalculated and this process is repeated_________________________________ 6. The ________________ is defined as the set of the current values of OUT signals from all the neurons. 7. A recurrent network forms an_____________________________________________________ 8. A Hopfield net is a net of such units subjects to the _________________rule for updating one neuron at a time. 9. Unstable networks posses interesting properties and are usually studied as examples of _____________ systems. 10. Define stable________________________________________________________________________________

II. Write equations Marks

5X1=5

1. Hopfield defined the energy ( write energy equation) ________________________ 2. Si 0 to 1 transition energy ∆E_____________________________________________ 3. Si : 1 to 0 transition energy ∆E _________________________________________ 4. Hopfield assumes symmetric weights equation_____________________________ 5. the dynamic of the net tends to move E toward a________________________ 6. Write recurrent network NET equation with conditions_____________________________________ 7. Write recurrent network output equation with conditions ___________________________________

8. The memories are encoded as binary vectors and stored in the weights according to the formula_______________________________________________ 9. This expression may be clarified by noting that the weight array W can be found by calculating the outer product of each desired vector with itself an summing all of the matrixes thus formed.________________ 10. Define dynamic property of recurrent networks ____________________________________________