Which type of neural network architecture is specifically designed to process data with a variable-length sequence?

Statements: B ≤ C < E; D ≤ F ≤ G; E = D; A > B

Conclusions:

(i) E ≥ G

(ii) A < E

(iii) B ≤ G

(iv) C < F

Statements: M * T, D % T, D # K, K $ R

Statements: O ≤ R ≤ N ≥ H > K; U < Q ≤ N ≤ B

Conclusions :

I. H ≥ Q

II. R < U

Statements: X ≥ W > O = F ≥ B ≥ J; M < A ≤ J

Conclusions:

I. M < B

II. O ≥ A

III. O < A

Statements: G < H ≤ I, V ≥ W = G, R ≥ I = A

Conclusions : I. R > G

II. A ≥ H

III. H ≤ R

Statements: C = D ≥ G ≥ H; K ≤ I < H; K < F < E

Conclusions:

I. C ≤ I

II. G > F

III. H ≤ D

Statements: M * P $ C + D; I + F; I & C * K

Conclusions:

I. P + F

II. D * K

III. K + M

Statements: N & C, C # I, I @ L, L % Y

Conclusions: I.   C & Y                      II. L # N

Statements: A @ Z, Z # L, L % N, N @ U

Conclusions:

I. A @ N

II. Z @ U

III. A # L