Neural Computing and Applications [electronic resource] /
Neural Computing and Applications [electronic resource] /
edited by John MacIntyre.
- online resource.
Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems. All items relevant to building practical systems are within its scope, including but not limited to: adaptive computing algorithms applicable neural networks theory applied statistics architectures artificial intelligence benchmarks case histories of innovative applications fuzzy logic genetic algorithms hardware implementations hybrid intelligent systems intelligent agents intelligent control systems intelligent diagnostics intelligent forecasting machine learning neural networks neuro-fuzzy systems pattern recognition performance measures self-learning systems software simulations supervised and unsupervised learning methods system engineering and integration Featured contributions fall into several categories: Original Articles, Review Articles, Book Reviews and Announcements. The Original Articles will be high-quality contributions, representing new and significant research, developments or applications of practical use and value. They will be reviewed by at least two referees. FOUNDING EDITOR Howard James JOURNAL ADMINISTRATOR Tanya Daly, United Kingdom For all queries relating to papers after submission, please contact the Journal Editorial Office via “contact us” at Editorial Manager.
1433-3058 = Neural Comput & Applic
10.1007/521.1433-3058 doi
Artificial intelligence.
Data mining.
Computer science—Mathematics.
Mathematical statistics.
Mathematics—Data processing.
Computer vision.
Bioinformatics.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Probability and Statistics in Computer Science.
Computational Science and Engineering.
Computer Vision.
Computational and Systems Biology.
Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems. All items relevant to building practical systems are within its scope, including but not limited to: adaptive computing algorithms applicable neural networks theory applied statistics architectures artificial intelligence benchmarks case histories of innovative applications fuzzy logic genetic algorithms hardware implementations hybrid intelligent systems intelligent agents intelligent control systems intelligent diagnostics intelligent forecasting machine learning neural networks neuro-fuzzy systems pattern recognition performance measures self-learning systems software simulations supervised and unsupervised learning methods system engineering and integration Featured contributions fall into several categories: Original Articles, Review Articles, Book Reviews and Announcements. The Original Articles will be high-quality contributions, representing new and significant research, developments or applications of practical use and value. They will be reviewed by at least two referees. FOUNDING EDITOR Howard James JOURNAL ADMINISTRATOR Tanya Daly, United Kingdom For all queries relating to papers after submission, please contact the Journal Editorial Office via “contact us” at Editorial Manager.
1433-3058 = Neural Comput & Applic
10.1007/521.1433-3058 doi
Artificial intelligence.
Data mining.
Computer science—Mathematics.
Mathematical statistics.
Mathematics—Data processing.
Computer vision.
Bioinformatics.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Probability and Statistics in Computer Science.
Computational Science and Engineering.
Computer Vision.
Computational and Systems Biology.