Modeling Runoff Using Feed Forward-Back Propagation and Layer Recurrent Neural Networks

Dillip K. Ghose

doi:10.1007/978-981-13-1610-4_8

ScienceGate Book Chapters

BOOK-CHAPTER

Modeling Runoff Using Feed Forward-Back Propagation and Layer Recurrent Neural Networks

Dillip K. Ghose

Year: 2018 Advances in intelligent systems and computing Pages: 75-85 Publisher: Springer Nature

DOI: 10.1007/978-981-13-1610-4_8

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Surface runoff Artificial neural network Layer (electronics) Backpropagation Artificial intelligence Materials science Composite material

Metrics

Cited By

0.45

FWCI (Field Weighted Citation Impact)

Refs

0.57

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Hydrological Forecasting Using AI

Physical Sciences → Environmental Science → Environmental Engineering

Hydrology and Watershed Management Studies

Physical Sciences → Environmental Science → Water Science and Technology

Flood Risk Assessment and Management

Physical Sciences → Environmental Science → Global and Planetary Change

Modeling Runoff Using Feed Forward-Back Propagation and Layer Recurrent Neural Networks

Metrics

Citation History

Topics

Related Documents

Modeling surface tension of pure refrigerants using feed-forward back-propagation neural networks

Building Occupancy Detection Using Feed Forward Back-Propagation Neural Networks

Mammogram Analysis Using Feed-Forward Back Propagation and Cascade-Forward Back Propagation Artificial Neural Network

Palmprint Biometrics using Feed Forward Back Propagation Neural Network

Crack Width Estimation Using Feed and Cascade Forward Back Propagation Artificial Neural Networks