In the negative clonal selection model (case 4), I introduce the input parameter NRFLN-D (Nreduced fitness loci net-dominant), which is an indicator of the vulnerability of the genome to mutations which may reduce cellular fitness [17].
In addition, the gradient procedure applied to the overall energy function introduces the input from the matching network.
We introduce the input parameter m as the number of mismatches allowed between the patterns and their CR.
As the next step, the noisy free measured output data are used to introduce the input-output mappings (Phi[cdot]:mathcal{K}rightarrow C[0,T]) and (Psi[cdot]:mathcal {K}rightarrow C^{1}[0,T]).
As the next step, the noise-free measured output data are used to introduce the input-output mappings Φ : K → C 1 [ 0, T ] and Ψ : K → C [ 0, T ].
Also, let us introduce the input-output mappings (Phi[cdot]:mathcal{K}rightarrow C[0,T]) and (Psi[cdot]:mathcal{K}rightarrow C^{1}[0,T]) where Phi[k]=u x,t k)|_{x=0}, quad kinmathcal{K}_{0}.
As the next step, the noisy free measured output data (f(t)) and (h(t)) are used to introduce the input-output mappings (Phi[cdot]:mathcal{K}rightarrow C^{1}[0,T]) and (Psi[cdot]:mathcal{K}rightarrow C[0,T]), where (mathcal{K}) represents the set of admissible source functions.
A LS-SVM model is proposed and trained by introducing the current input value and input variation rate as the input data set to formulate a one-to-one mapping.
To endow the traditional fuzzy rule-based systems (FRBs) with probabilistic features to handle randomness, this paper presents a probabilistic fuzzy neural network (ProFNN) by introducing the probability of input linguistic terms and providing linguistic meaning into the connectionist architecture.
"We are therefore proposing to introduce the direct input of copy by reporters and writers into the system.
