adplus-dvertising

Discussion Forum

Que. An artificial neuron receives n inputs x1, x2, x3............xn with  weights w1, w2, ..........wn attached to the input links. The weighted sum_________________ is computed to be passed on to a non-linear filter  Φ called activation function to release the output.
a. Σ wi
b. Σ xi
c. Σ wi + Σ xi
d. Σ wi* xi
Answer:Σ wi* xi
Confused About the Answer? Ask for Details Here
Know Explanation? Add it Here

Similar Questions:

Match the following knowledge representation techniques with their applications:

List – I List – II

(a) Frames (i) Pictorial representation of objects, their attributes and relationships

(b) Conceptual dependencies (ii) To describe real world stereotype events

(c) Associative networks (iii) Record like structures for grouping closely related knowledge

(d) Scripts (iv) Structures and primitives to represent sentences

code:
a b c d
Identify the following activation function :
φ(V) = Z + (1/ 1 + exp (– x * V + Y) ),
Z, X, Y are parameters 
An artificial neuron receives n inputs x1, x2, x3............xn with  weights w1, w2, ..........wn attached to the input links. The weighted sum_________________ is computed to be passed on to a non-linear filter  Φ called activation function to release the output.
Which of the following can be used for clustering of data ?
A neuron with 3 inputs has the weight vector [0.2 -0.1 0.1]^T and a bias θ = 0. If the input vector is X = [0.2 0.4 0.2]^T then the total input to the neuron is:
Back propagation is a learning technique that adjusts weights in the neural network by propagating weight changes.
In Delta Rule for error minimization
Consider the following statements :

(a) Assignment problem can be used to minimize the cost.
(b) Assignment problem is a special case of transportation problem.
(c) Assignment problem requires that only one activity be assigned to each resource.

Which of the following options is correct?
Match the following :

(i) OLAP                        (a) Regression
(ii) OLTP                        (b) Data Warehouse
(iii) Decision Tree        (c) RDBMS
(iv) Neural Network     (d) Classification

code:
      (i)   (ii)  (iii)   (iv)
Which of the following neural networks uses supervised learning?

(A) Multilayer perceptron
(B) Self organizing feature map
(C) Hopfield network
In propositional logic P ⇔ Q is equivalent to (Where ~ denotes NOT):
Slots and facets are used in
Consider the following statements:

(a) If primal (dual) problem has a finite optimal solution, then its dual (primal) problem has a finite optimal solution.
(b) If primal (dual) problem has an unbounded optimum solution, then its dual (primal) has no feasible solution at all.
(c) Both primal and dual problems may be infeasible.
Which of the following is correct?

GATE CSE Resources

Questions from Previous year GATE question papers

UGC NET Computer science Resources

UGC NET Previous year questions and practice sets

NET General Paper 1

UGC NET Previous year questions and practice sets

GATE CSE Online Test

Attempt a small test to analyze your preparation level. This GATE exam includes questions from previous year GATE papers.

UGC NET practice Test

Practice test for UGC NET Computer Science Paper. The questions asked in this NET practice paper are from various previous year papers.