Comparison between ILSTM and machine learning-based algorithms in binary classification. by Asmaa Ahmed Awad (16726315)

Comparison between ILSTM and deep learning-based algorithms in binary classification. by Asmaa Ahmed Awad (16726315)

One advantage of our algorithm is that it is not binary in nature. by Yong Kuk Kim (13955214)

The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. by Olaide N. Oyelade (14047002)

Subjects:

Binary encoding scheme. by Binh Thanh Dang (12368831)

MSE for ILSTM algorithm in binary classification. by Asmaa Ahmed Awad (16726315)

“…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”

Image10_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG by R. Lalhmachhuana (19684261)

Image13_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG by R. Lalhmachhuana (19684261)

Image2_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.JPEG by R. Lalhmachhuana (19684261)

Image4_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.JPEG by R. Lalhmachhuana (19684261)

Image5_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.JPEG by R. Lalhmachhuana (19684261)

Image6_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG by R. Lalhmachhuana (19684261)

Image12_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG by R. Lalhmachhuana (19684261)

Image1_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.JPEG by R. Lalhmachhuana (19684261)

Image8_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG by R. Lalhmachhuana (19684261)

Image9_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG by R. Lalhmachhuana (19684261)

Image7_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG by R. Lalhmachhuana (19684261)

Image11_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.PNG by R. Lalhmachhuana (19684261)

Image3_Multi-objective-based economic and emission dispatch with integration of wind energy sources using different optimization algorithms.JPEG by R. Lalhmachhuana (19684261)

DE algorithm flow. by Ling Zhao (111365)

“…<div><p>To solve the problems of insufficient global optimization ability and easy loss of population diversity in building interior layout design, this study proposes a novel layout optimization model integrating interactive genetic algorithm and improved differential evolutionary algorithm to improve the global optimization ability and maintain population diversity in building layout design. …”