Artificial neural networks in wave predictions at the west coast of Portugal

QR Code

Artificial neural networks in wave predictions at the west coast of Portugal

In coastal and open ocean human activities, there is an increasing demand for accurate estimates of future sea state. In these activities, predictions of wave heights and periods are of particular importance. In this study, two different neural network strategies were employed to forecast significan...

Full description

Bibliographic Details
Main Authors:	Makarynskyy, Oleg, Pires Silva, A., Makarynska, D., Ventura-Soares, C.
Format:	Journal Article
Published:	2005
Subjects:	Artificial intelligence - Wave simulations - Saliency analysis - Optimization
Online Access:	http://hdl.handle.net/20.500.11937/46215

Similar Items

Filling gaps in wave records with artificial neural networks
by: Makarynskyy, Oleg, et al.
Published: (2005)

Using Artificial Neural Networks to estimate sea level in continental and island coastal environments
by: Makarynskyy, Oleg, et al.
Published: (2005)

The use of artificial neural networks to retrieve sea-level information from remote data sources
by: Makarynskyy, Oleg, et al.
Published: (2004)

Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia
by: Makarynskyy, Oleg, et al.
Published: (2004)

Toward Accountable and Explainable Artificial Intelligence Part one: Theory and Examples
by: Khan, Masood, et al.
Published: (2022)

Toward Accountable and Explainable Artificial Intelligence Part Two: The Framework Implementation
by: Vice, Jordan, et al.
Published: (2022)

Modularity in artificial neural networks
by: Amer, Mohammed Elsayed Mohammed
Published: (2021)

Evaluation of artificial reefs in West Coast, Malaysia
by: Ismail, Illisriyani, et al.
Published: (2009)

Generative AI Glitches: The Artificial Everything
by: Srdarov, Suzanne, et al.
Published: (2024)

Artificial intelligence-based tool condition monitoring in robotic incremental sheet forming through vibration, tool wear and surface roughness analyses
by: Ismail, Nazarul Abidin
Published: (2021)

CPP 302 - CSE 401 - ARTIFICIAL INTELLIGENCE FEB. 1999.
by: PPSKOM, Pusat Pengajian Sains Komputer
Published: (1999)

Prediction system for determination of hypertension risk using artificial neural network / Nur Izzati Zulkifli
by: Zulkifli, Nur Izzati
Published: (2012)

Integrated artificial intelligence-based classification approach for prediction of acute coronary syndrome
by: Salari, Nader
Published: (2014)

Artificial neural network assessment for predicting elastic and optical properties of binary tellurite and borate glass systems
by: Effendy, Nuraidayani
Published: (2021)

Effect of fuzzy resource allocation method on AIRS classifier accuracy
by: Golzari, Shahram, et al.
Published: (2009)

Modelling of biogas production process with evolutionary artificial neural network and genetic algorithm
by: Fakharudin, Abdul Sahli
Published: (2017)

Hybrid pre-classification technique – artificial neural network for lightning severity classification
by: Omar, Muhammad Azhar
Published: (2014)

Development of e-nose herb recognition system based on artificial intelligence techniques
by: Mohamad Yusof, Umi Kalsom
Published: (2016)

UNIVERSITI SAINS MALAYSIA Second Semester Examination 2011/2012 Academic Session June 2012 EPE 401/3 – Artificial Intelligence in Manufacturing [Kecerdikan Rekaan Dalam Pembuatan] Duration: 2 hours [Masa: 2 jam]
by: Mekanik, Pusat Pengajian Kejuruteraan
Published: (2012)

Testing the Weak Form Efficiency of Shanghai Stock Exchange with Artificial Neural Networks
by: Wong, Tai-chi Alick
Published: (2007)

Investment Process in China's Mutual Funds and Application of Artificial Intelligence
by: Xie, Ningjia
Published: (2008)

How can SMEs adopt AI for accounting processes in Singapore despite challenges like cost or technical expertise?
by: Leong, Pui Yie
Published: (2024)

Use of Soil Moisture Variability in Artificial Neural Network Retrieval of Soil Moisture
by: Chai, Soo See, et al.
Published: (2010)

Artificial neural network model for prediction of drilling rate of penetration and optimization of parameters
by: Bataee, M., et al.
Published: (2014)

Behavior Recognition In Video Surveillance System For Indoor Public Areas Using Artificial Immune System
by: Abad, Azad
Published: (2008)

Control of electrical systems using artificial intelligence for more electric aircraft applications
by: Hussaini, Habibu
Published: (2023)

Using Artificial Neural Networks to estimate sea level in continental and island coastal environments
by: Makarynskyy, Oleg, et al.
Published: (2004)

Effect of service learning module for teaching artificial intelligence on pre-service teachers' practical knowledge and motivation and students' attitudes
by: Pu, Song
Published: (2021)

Novel techniques for modelling uncertain human reasoning in explainable artificial intelligence
by: D'Alterio, Pasquale
Published: (2021)

AI and Anthropology - A Path away from Disenchantment and towards Re-enchantment
by: Collins, Harry
Published: (2022)

Oil palm female inflorescences anthesis stages identification using selected emissivities through thermal imaging and Machine Learning
by: Yousefidashliboroun, Mamehgol
Published: (2022)

Geospatial AI-based approach to assess the spatiotemporal suitability of onshore wind-solar farms in Iraq
by: Sachit, Mourtadha Sarhan Almushattat
Published: (2023)

Operational matrix based on orthogonal polynomials and artificial neural networks methods for solving fractal-fractional differential equations
by: Shloof, Aml Melad Asan
Published: (2024)

Development of machinability data model for end milling using artificial neural networks
by: Chu, Bee Wang
Published: (2009)

Artificial intelligence system for pineapple variety classification and its quality evaluation during storage using infrared thermal imaging
by: Mohd Ali, Maimunah
Published: (2022)

Detecting change and dealing with uncertainty in imperfect evolutionary environments
by: Mujtaba, Hasan, et al.
Published: (2015)

An adaptive evolutionary multi-objective approach based on simulated annealing
by: Li, Hui, et al.
Published: (2011)

Theories of parenting and their application to artificial intelligence
by: Croeser, Sky, et al.
Published: (2019)

Evaluation of banana and pear fruit maturity stages using laser backscattering images, artificial neural network and support vector machine techniques
by: Emmanuel, Adebayo Segun
Published: (2017)

The effect of varying kilovoltage (kVp) and tube current (mAs) on the image quality and dose of CTA head phantom / Sity Noor Ayseah Dzulkafli
by: Dzulkafli, Sity Noor Ayseah
Published: (2015)

Cannot write session to /tmp/vufind_sessions/sess_4vdrjiq5cqhl3l1ckg6ak7j8tv