Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

Subjects:

Comparative analysis of algorithms. by Xumin Zhao (18261643)

Subjects:

Function graph and algorithm iterative graph. by WanRu Zhao (18980374)

Subjects:

Results of proposed algorithms and algorithms in [9] for 18 instances. by Jin Zhang (53297)

Activation functions: Sigmoid function and ReLU function. by Wan-Hua Zhang (21601139)

Illustration of methods based on Green’s function first-passage algorithms. by Jean Marc Tregan (15195173)

“…<p>Illustration of methods based on Green’s function first-passage algorithms.</p>…”

APSO–CNN and FNN algorithms’ loss function training sets. by Ahmed Bahaa (12887063)

Subjects:

APSO–CNN and FNN algorithms’ loss function validation sets. by Ahmed Bahaa (12887063)

Subjects:

Optimization results of test functions for different algorithm improvement points. by WanRu Zhao (18980374)

Subjects:

The comparison for the number of the objective function against the number of iterations. by Jamilu Sabi’u (18794062)

Multimodal reference functions. by Ruiyu Zhan (21602031)

“…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”

APSO–WOA–CNN and FNN algorithms’ loss function validation sets. by Ahmed Bahaa (12887063)

Subjects:

APSO–WOA–CNN and FNN algorithms’ loss function training sets. by Ahmed Bahaa (12887063)

Subjects:

Performance SDYM against SCGP, SRMIL, and MDY for function evaluations. by Jamilu Sabi’u (18794062)

The comparison for the number of the objective function against processing time (seconds). by Jamilu Sabi’u (18794062)

The SVM objective function minimization against iterations. by Ali Ahmed (2567584)

Subjects:

The convergence curves of the test functions. by Ruiyu Zhan (21602031)

“…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”

Single-peaked reference functions. by Ruiyu Zhan (21602031)

“…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …”

APSO–WOA–CNN and APSO–CNN algorithms’ loss function validation sets. by Ahmed Bahaa (12887063)

Subjects:

APSO–WOA–CNN and APSO–CNN algorithms’ loss function training sets. by Ahmed Bahaa (12887063)

Subjects: