An inference engine executes the inference operations of the rules to evaluate the performance by a fuzzy reasoning approach. Defuzzifier transforms the inference engine fuzzy outputs into the real number domain
As the grey model can depict linearity characteristics of network traffic and the BP neural network model can depict the non-stationary and non-linear characteristics, a Fuzzy Self-Adaptive Variable-Weight Combination Prediction Model (FSVCPM) was composed of them. To improve the prediction accuracy...
In this study, the integration of an adaptive hybrid of differential evolution and particle swarm optimization (A-DEPSO) with adaptive neuro fuzzy inference system (ANFIS) model is adopted for EC prediction. The A-DEPSO method uses unique mutation and crossover processes to correspondingly boost ...
The network plasticity obeys the Hebbian rule60 and involves only excitatory-excitatory connections. The model parameters (see Methods) are set to values that correspond to the emergence of a stationary regime for the dynamics of an isolated node, i.e., the excitatory and inhibitory population ...
, and the selected drivers (fuzzy, neural, or both). Besides, few researches were conducted to intelligently find optimum angles and track the trajectory of the sun. Finding such variables would avoid using stationary solar photovoltaics, and it would increase the collected solar energy by ...
Fuzzy Adaptive Control System of a Non-Stationary Plant S. Mikhalevich, "Fuzzy adaptive control system of a non-stationary plant with closed-loop passive identifier," Resource- Efficient Technologies, vol. 1,... IS Nadezhdin,AG Goryunov,F Manenti - VII International Scientific Practical Confere...
Chai R, Ling SH, Hunter GP, Tran Y, Nguyen HT (2013) Brain-computer interface classifier for wheelchair commands using neural network with fuzzy particle swarm optimization. IEEE JBHI 18(5):1614–1624 Google Scholar Reddy TK, Arora V, Behera L, Wang Y-k, Lin C-T (2020) Fuzzy diverge...
Secondly, the spatiotemporal correlation of traffic data from sensors at various observation points is non-stationary and varies over time, also heightening the difficulty of traffic flow prediction. Finally, within a two-dimensional urban transportation network, the spatiotemporal correlation of traffic...
S. Khoun of the Massachusetts Institute of Technology Lincoln Laboratory in their paper entitled "Adaptive Preprocessing of Nonstationary Signals" which was published in Technical Report 849 on May 9, 1989. Eggers and Khoun sought to produce a compact feature vector by providing a preprocessor for ...
FIGS. 15A and 15B are block diagrams of non-fuzzy, directed network system structures with single or multiple relationship types according to the prior art; FIGS. 16A and 16B are block diagrams of fuzzy, non-directed network system structures with single or multiple relationship types according ...