Neural Computing and Applications

Aims & Scope

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

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Source: OpenAlex · Note: citations accumulate over time so older years appear higher

SJR Quartile by Discipline

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Subject Classification