In this paper, we apply the Beta Basis Function Neural Network (BBFNN) trained with cuckoo search (CS) for time series predictions. The cuckoo search ...

In this paper, we apply the Beta Basis Function Neural Network (BBFNN) trained with cuckoo search (CS) for time series predictions. The cuckoo search ...

Global optimization methods like evolutionary algorithms, overcome this problem. In this work it is investigated how to construct a quality BBF network for a ...

Bibliographic details on Designing of Beta Basis Function Neural Network for optimization using cuckoo search (CS).

Semantic Scholar extracted view of "The design of beta basis function neural network and beta fuzzy systems by a hierarchical genetic algorithm" by C.

Designing of Beta Basis Function Neural Network for optimization using cuckoo search (CS). Habib Dhahri, Adel. M. Alimi, Ajith Abraham.

Designing of Beta Basis Function Neural Network for optimization using cuckoo search (CS) ... optimization for the design of beta basis function neural network.

In this paper we proposed a new model Cuckoo Search with Invasive weed optimization based Extreme Learning Machine (CSIWO-ELM) to optimize input weight and ...

Aug 6, 2021 · The CS algorithm uses Lévy flights to move randomly instead of simple isotropic random search, which enhances the search performances of the ...

Jun 21, 2023 · Khadanga et al. proposed a CS combined with grey wolf optimization (GWO) algorithm for load frequency controller design. First, 10 benchmark ...