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This study proposes a bare-bones imperialist competitive algorithm (BBICA) for a compensatory neural fuzzy controller in order to solve prediction problems and nonlinear control system problems. In the proposed BBICA, the population is divided into two types: imperialists and colonies. The purpose is that the cultures of colonies and societies can be similar to their empires. Moving colonies toward...
In this paper, an entropy-based quantum neuro-fuzzy inference system (EQNFIS) for classification applications is proposed. The EQNFIS model is a five-layer structure, which combines the traditional Takagi-Sugeno-Kang (TSK). Layer 2 of the EQNFIS model contains quantum membership functions, which are multilevel activation functions. Each quantum membership function is composed of the sum of sigmoid...
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