Hybrid intelligence

Part 1 book "Intelligent control of connected plug in hybrid electric vehicles" includes content: Introduction, related work, high fidelity modeling of a plug in hybrid electric powertrain, energy management approach, nonlinear model predictive control.

87p dianmotminh03 11-06-2024 3 1   Download

Part 2 book "Intelligent control of connected plug in hybrid electric vehicles" includes content: Multi-parametric predictive control, control relevant parameter estimated strategy, smart ecological supervisory controls, real time trip planning module development and evaluation, route based supervisory controls, ecological cruise control, conclusions.

115p dianmotminh03 11-06-2024 1 1   Download

Part 2 of ebook "Measuring technology and mechatronics automation in electrical engineering" provides readers with contents including: hardware-in-the-loop for on-line identification of SSP driving motor; hybrid adaptive fuzzy vector control vector control for single-phase induction motors; hybrid intelligent algorithm based on hierarchical encoding for training of RBF neural network; improved fuzzy neural network for stock market prediction and application; landslide recognition in mountain image based on support vector machine;...

259p dongmelo 20-05-2024 4 1   Download

Part 1 book "Electric and hybrid vehicles - Power sources, models, sustainability, infrastructure and the market" includes content: Economic and environmental comparison of conventional and alternative vehicle options, lifetime cost of battery, fuel cell, and plug-in hybrid electric vehicles; relative fuel economy potential of intelligent, hybrid and intelligent–hybrid passenger vehicles,... and other contents.

289p dianmotminh01 17-05-2024 6 4   Download

The conventional linear econometric and statistical models are not effective for forecasting the nonlinear and complex nature of crude oil prices. Computational intelligence techniques and hybrid modelling principles have been proposed to address this issue. Multiple forecasts can be combined using linear or nonlinear methods to create an aggregate forecast.

6p viritesh 02-04-2024 3 1   Download

Ebook "Computational Intelligence in Control" contains 4 sections, includes: Section I: neural networks design, control and robotics application; section II: hybrid evolutionary systems for modelling, control and robotics applications; section III: fuzzy logic and bayesian systems; section IV: machine learning, evolutionary optimisation and information retrieval.

346p haojiubujain08 01-11-2023 5 2   Download

Ebook Computational web intelligence intelligent technology for web applications" contains 3 parts, includes: Part I: fuzzy web intelligence rough web intelligence and probabilistic web intelligence; part II: neural web intelligence evolutionary web intelligence and granular web intelligence; part III: hybrid web intelligence and e-applications.

583p haojiubujain08 01-11-2023 8 2   Download

The book is based on lectures given to students who have little knowledge of calculus. And readers do not need to learn a programming language! The material in this book has been extensively tested through several courses taught by the author for the past decade. Typical questions and suggestions from my students influenced the way this book was written. The book is an introduction to the field of computer intelligence.

435p haojiubujain08 01-11-2023 10 3   Download

This paper is aimed to apply hybrid machine learning model namely GA-ANFIS, which is a combination of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Genetic Algorithm (GA), for the prediction of total bearing capability of driven piles.

8p visharma 20-10-2023 8 4   Download

Ebook "Recent advances in artificial neural networks design and applications" includes content: A neuro-symbolic hybrid intelligent architecture with applications; new radial basis neural networks and their application in a large-scale handwritten digit recognition problem; efficient neural network-based methodology for the design of multiple classifiers; learning fine motion in robotics - Design and experiments;... and other contents.

359p haojiubujain07 20-09-2023 5 2   Download

The article "A review of metaheuristic optimized machine learning regression with applications in construction engineering" aims at reviewing state-of-the-art research works involving the use of metaheuristic optimized machine learning regression models. Recent research articles published in the time period of 2019-2021 are surveyed. Research areas of construction material, construction management, structural engineering, geotechnical engineering, hydraulic engineering, and structural health monitoring are taken into account.

7p nhanchienthien 25-07-2023 5 4   Download

The obtained results confirm the accuracy, effectiveness, and reliability of the proposed approach in (1) alleviating the differences between measurement and simulation and (2) damage identification including damage location and severity, in the tested beam considering noise effects.

15p viaudi 29-08-2022 4 2   Download

This paper also proposes some more solutions to design and operate LED-eye sets basing on dimming method such as using hybrid power supplies, artificial intelligence and smart lighting zone to create intelligent lighting areas.

7p viirenerosenfeld 02-06-2022 14 3   Download

In recent years, financial time series forecasts have become a challenging issue and attracted many researchers. This study develops a novel hybrid model to forecast stock price in Vietnam Stock Exchange. The least squares support vector regression (LSSVR), a machine learning technique, is utilized as a forecast model. A swarm intelligence – firefly algorithm (FA), is applied to optimize hyperparameters of the LSSVR for improving forecast accuracy.

10p vihassoplattner 07-01-2022 17 3   Download

The random forests algorithm is a type of classifier with prominent universality, a wide application range, and robustness for avoiding overfitting. But there are still some drawbacks to random forests. Therefore, to improve the performance of random forests, this paper seeks to improve imbalanced data processing, feature selection and parameter optimization.

18p vioklahoma2711 19-11-2020 10 0   Download

Minimising Post Harvest Loses for the perishable crops are the major area of demand driven technology intervention have been sorted in the present era in the country. India as an tropical country, which has large scope for solar drying, and simultaneously it is an agrarian country with huge agricultural wastes generated after harvesting every seasons produces large scale Biomasses.

7p nguathienthan5 04-06-2020 12 0   Download

There are several linear time-series forecasting models available in literature. One of the important and widely used technique for analysis of univariate time-series data is Box Jenkins’ Autoregressive integrated moving average (ARIMA) methodology (Box et al., 2007). Sometimes addition of the other exogenous variables increases the prediction accuracy of ARIMA model (ARIMAX). For this aspect we applied different p and q order ARIMAX model for five nutrient combinations of nitrogen content which is further developed by including organic carbons an input (exogenous) variable.

9p nguaconbaynhay5 16-05-2020 23 0   Download

This paper demonstrates how you can use MATLAB® and Simulink® features and toolboxes to: design and synthesize complex antenna elements and MIMO phased arrays and subarrays; partition hybrid beamforming systems intelligently across RF and digital domains; validate spatial signal processing algorithm concepts...

22p son248 24-03-2020 17 1   Download

This paper investigates the problem of inter-cell interference (ICI) in Long Term Evolution (LTE) mobile systems, which is one of the main problems that causes loss of packets between the base station and the mobile station. Recently, different frequency reuse methods, such as soft and fractional frequency reuse, have been introduced in order to mitigate this type of interference. In this paper, minimizing the packet loss between the base station and the mobile station is the main concern.

7p trinhthamhodang1 16-11-2019 42 3   Download

Highly tensile manganese steel is in great demand owing to its high tensile strength under shock loads. All workpieces are produced through casting, because it is highly difficult to machine. The probabilistic aspects of its casting, its variable composition, and the different casting techniques must all be considered for the optimisation of its mechanical properties. A hybrid strategy is therefore proposed which combines decision trees and artificial neural networks (ANNs) for accurate and reliable prediction models for ore crushing plate lifetimes.

12p caygaocaolon1 13-11-2019 18 0   Download