Evaluation of Lignocellulosic Biomass Degradation by Combining Mid- and Near-Infrared Spectra by the Outer Product and Selecting Discriminant Wavenumbers Using a Genetic Algorithm.

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Evaluation of Lignocellulosic Biomass Degradation by Combining Mid- and Near-Infrared Spectra by the Outer Product and Selecting Discriminant Wavenumbers Using a Genetic Algorithm.

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2015 nî lūn-bûn

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2015年の論文

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2015年学术文章

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2015年学术文章

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2015年学术文章

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Evaluation of Lignocellulosic ...... ers Using a Genetic Algorithm.

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Evaluation of Lignocellulosic ...... ers Using a Genetic Algorithm.

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label

Evaluation of Lignocellulosic ...... ers Using a Genetic Algorithm.

@en

Evaluation of Lignocellulosic ...... ers Using a Genetic Algorithm.

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Evaluation of Lignocellulosic ...... ers Using a Genetic Algorithm.

@en

Evaluation of Lignocellulosic ...... ers Using a Genetic Algorithm.

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P1476

Evaluation of Lignocellulosic ...... ers Using a Genetic Algorithm.

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P2093

Abbas Rammal

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Anouck Habrant

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Brieuc Lecart

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Eric Perrin

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Valeriu Vrabie

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P2860

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Using a genetic algorithm as an optimal band selector in the mid and thermal infrared (2.5-14 μm) to discriminate vegetation species.

Combination of ammonia and xylanase pretreatments: impact on enzymatic xylan and cellulose recovery from wheat straw.

Quantitative characterization of lignocellulosic biomass using surrogate mixtures and multivariate techniques.

Combined NIR/MIR analysis: a novel method for the classification of complex substances such as Illicium verum Hook. F. and its adulterants.

Rapid near infrared spectroscopy for prediction of enzymatic hydrolysis of corn bran after various pretreatments.

Genetic algorithms: principles of natural selection applied to computation.

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1303-1312

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scholarly article

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10.1366/15-07928

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P433

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P478

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Brigitte Chabbert

Isabelle Bertrand

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2015-11-01T00:00:00Z

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P698

26647053

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P921

biomass