A study on hybrid random signal-based learning and its applications

Application of Tree Structures of Fuzzy Classifier to Diabetes Disease Diagnosis

“…RSL is a kind of reinforcement learning algorithm that is very effective to find the local optimum because the candidate solution moves in a downhill direction very quickly [6]. For more detail about RSL, please refer to [6]. During GA optimization, the connections to AND and OR neuron set as zero and one, respectively, because of the characteristic of the fuzzy neurons as mentioned before.…”

“…RSL is a kind of reinforcement learning algorithm that is very effective to find the local optimum because the candidate solution moves in a downhill direction very quickly [6]. For more detail about RSL, please refer to [6].…”

“…Tree structures of fuzzy classifier can reduce the size of rules by optimally placing fuzzy neurons as nodes and selecting relevant input sub-spaces as leaves. In the optimization stage, we used two-step optimization where genetic algorithm (GA) [5] develops the binary structure by optimally selecting the nodes and leaves, and then random signal-based learning (RSL) [6] further refines the binary connections. To show the effectiveness of the proposed method, we considered the diabetes disease dataset obtained from the UCI Machine Learning Repository site at the University of California at Irvine.…”

Auto MPG Prediction using Tree Architectures of Fuzzy Neural Networks

“…RSL is a kind of reinforcement learning algorithm that is very effective to find the local optimum because the candidate solution moves in a downhill direction very quickly [6]. For more details about RSL, please refer to [6].…”

“…For the optimization of the networks, two-step optimization method is used. Genetic algorithms (GA) [5] optimize the binary structure of the networks by selecting the nodes and leaves as binary, and followed by random signal-based learning (RSL) [6] further refines the optimized binary connections in the unit interval. To verify the effectiveness of the proposed method, Auto MPG dataset obtained from the UCI Machine Learning Repository Database is considered.…”