International Journal of Computational Intelligence in Control
 

ISSN:  0974-8571 

 

Vol. 12 No. 1 (June, 2020)

 

     1. A QUANTITATIVE ROBUSTNESS MEASURE FOR GENE REGULATORY NETWORKS 

Author: Wei-Sheng Wu                                        DOWNLOAD

 

How to Cite: 

Wu, W., 2020. A Quantitative Robustness Measure for Gene Regulatory Networks. International Journal of

Computational Intelligence in Control
, 12(1).
 


2. PROBING STOCHASTIC PHENOTYPE SWITCHING AS A SURVIVAL STRATEGY IN FLUCTUATING ENVIRONMENTS

Author: Andre S. Ribeiro and Antti H√§kkinen                           DOWNLOAD

How to Cite: 

Ribeiro, A., 2020. Probing Stochastic Phenotype Switching as a Survival Strategy in Fluctuating Environments.

International Journal of Computational Intelligence in Control, 12(1).
 



     3. ANALYSIS OF ELEMENTARY FLUX MODES FOR RECOMBINANT SACCHAROMYCES CEREVISIAE UTILIZING PENTOSE AND HEXOSE TO PRODUCE ETHANOL

Author: Huang-Ren Wei, Li-Hsuan Chen, Feng-Sheng Wang                      DOWNLOAD

How to Cite: 

Wei, H., Chen, L. and Wang, F., 2020. Analysis of Elementary Flux Modes for Ecombinant Saccharomyces

Cerevisiae utilizing Pentose and Hexose to Produce Ethanol. International Journal of Computational Intelligence 

in Control, 12(1).


  

     4. NONLINEAR FUZZY NEURAL CONTROLLER DESIGN VIA EM-BASED HYBRID ALGORITHM

Author: Ching-Hung Lee and Yu-Chia Lee                               DOWNLOAD

How to Cite: 

Lee, C. and Lee, Y., 2020. Nonlinear Fuzzy Neural Controller Design via Em-based Hybrid Algorithm.

International Journal of Computational Intelligence in Control, 12(1).




     5. SYNCHRONIZATION OF COUPLED NEURONS USING A TSK-TYPE RECURRENT FUZZY NEURAL NETWORK WITH ASYMMETRIC GAUSSIAN MEMBERSHIP FUNCTIONS


Author: Chun-Fei Hsu                              DOWNLOAD


How to Cite: 

Chun-Fei, H., 2020. Nonlinear Synchronization of coupled neurons using A TSK-type Recurrent Fuzzy

Neural Network with Asymmetric Gaussian Membership Functions. 
International Journal of Computational

Intelligence in Control
, 12(1).