Neural Computing and Applications

SCIE-ISI SCOPUS (1993-2023)

  1433-3058

  0941-0643

 

Cơ quản chủ quản:  SPRINGER LONDON LTD , Springer London

Lĩnh vực:
Artificial IntelligenceSoftware

Các bài báo tiêu biểu

Grey wolf optimizer: a review of recent variants and applications
- 2018
Hossam Faris, Ibrahim Aljarah, Mohammed Azmi Al-Betar, Seyedali Mirjalili
Binary bat algorithm
- 2014
Seyedali Mirjalili, Seyed Mohammad Mirjalili, Xin-She Yang
Prairie Dog Optimization Algorithm
Tập 34 Số 22 - Trang 20017-20065 - 2022
Absalom E. Ezugwu, Jeffrey O. Agushaka, Laith Abualigah, Seyedali Mirjalili, Amir H. Gandomi
Feature selection via a novel chaotic crow search algorithm
- 2019
Gehad Ismail Sayed, Aboul Ella Hassanien, Ahmad Taher Azar
Evolutionary population dynamics and grey wolf optimizer
Tập 26 Số 5 - Trang 1257-1263 - 2015
Shahrzad Saremi, Seyedeh Zahra Mirjalili, Seyed Mohammad Mirjalili
Wavelet-based emotion recognition system using EEG signal
Tập 28 Số 8 - Trang 1985-1990 - 2017
Zeynab Mohammadi, Javad Frounchi, Mahmood Amiri
A novel method for solving the fully neutrosophic linear programming problems
Tập 31 - Trang 1595-1605 - 2018
Mohamed Abdel-Basset, M. Gunasekaran, Mai Mohamed, Florentin Smarandache
The most widely used technique for solving and optimizing a real-life problem is linear programming (LP), due to its simplicity and efficiency. However, in order to handle the impreciseness in the data, the neutrosophic set theory plays a vital role which makes a simulation of the decision-making process of humans by considering all aspects of decision (i.e., agree, not sure and disagree). By keeping the advantages of it, in the present work, we have introduced the neutrosophic LP models where their parameters are represented with a trapezoidal neutrosophic numbers and presented a technique for solving them. The presented approach has been illustrated with some numerical examples and shows their superiority with the state of the art by comparison. Finally, we conclude that proposed approach is simpler, efficient and capable of solving the LP models as compared to other methods.
Kernel PCA for Feature Extraction and De-Noising in Nonlinear Regression
Tập 10 Số 3 - Trang 231-243 - 2001
Roman Rosipal, Mark Girolami, Leonard J. Trejo, Andrzej Cichocki
Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia
Tập 28 Số S1 - Trang 893-905 - 2017
Mohammed Majeed Hameed, Saadi Shartooh Sharqi, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, Haitham Abdulmohsin Afan, Aini Hussain, Ahmed El‐Shafie
RETRACTED ARTICLE: A novel approach for automated detection of focal EEG signals using empirical wavelet transform
Tập 29 Số 8 - Trang 47-57 - 2018
Abhijit Bhattacharyya, Manish Sharma, Ram Bilas Pachori, Pradip Sircar, U. Rajendra Acharya