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Nature Inspired Computing: An Overview and Some Future Directions

Nature Inspired Computing: An Overview and Some Future Directions

http://www.wikidata.org/entity/Q30395710

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Nature-Inspired Chemical Reaction Optimisation Algorithms.Prediction of miRNA-disease Associations using an Evolutionary Tuned Latent Semantic Analysis.An Efficient Imperialist Competitive Algorithm for Solving the QFD Decision Problem

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Nature Inspired Computing: An Overview and Some Future Directions

http://www.wikidata.org/entity/Q30395710

description

2015 nî lūn-bûn

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2015 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

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2015 թվականի նոյեմբերին հրատարակված գիտական հոդված

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2015年の論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年論文

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2015年论文

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name

Nature Inspired Computing: An Overview and Some Future Directions

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Nature Inspired Computing: An Overview and Some Future Directions

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Nature Inspired Computing: An Overview and Some Future Directions

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Nature Inspired Computing: An Overview and Some Future Directions

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Nature Inspired Computing: An Overview and Some Future Directions

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Nature Inspired Computing: An Overview and Some Future Directions

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S12559-015-9370-8

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Cognitive Computation

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Nature Inspired Computing: An Overview and Some Future Directions

@en

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Hojjat Adeli

http://www.w3.org/2001/XMLSchema#string

Nazmul Siddique

http://www.w3.org/2001/XMLSchema#string

P2860

Optimization by Simulated Annealing

Evolutionary Operation: A Method for Increasing Industrial Productivity

Self-organized fish schools: an examination of emergent properties.

A clustering-based fuzzy wavelet neural network model for short-term load forecasting.

Structurally enhanced incremental neural learning for image classification with subgraph extraction.

A genetic graph-based approach for partitional clustering.

Indirect adaptive control of nonlinear systems based on bilinear neuro-fuzzy approximation.

Bregman divergences for growing hierarchical self-organizing networks.

Multi-strategy coevolving aging particle optimization.

A generalized Leaky Integrate-and-Fire neuron model with fast implementation method.

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706-714

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scholarly article

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10.1007/S12559-015-9370-8

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6

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7

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2015-11-30T00:00:00Z

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285216923

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26693257

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4675795

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