[go: up one dir, main page]

Rop et al., 2013 - Google Patents

Application of adaptive neuro-fuzzy inference system technique in design of rectangular microstrip patch antennas

Rop et al., 2013

View PDF
Document ID
16487821283686950493
Author
Rop K
Konditi D
Ouma H
Musyoki S
Publication year
Publication venue
Journal of Agriculture, Science and Technology

External Links

Snippet

The recent explosion in information technology and wireless communications has created many opportunities for enhancing the performance of existing signal transmission and processing systems and has provided a strong motivation for developing novel devices and …
Continue reading at www.ajol.info (PDF) (other versions)

Classifications

    • HELECTRICITY
    • H01BASIC ELECTRIC ELEMENTS
    • H01QAERIALS
    • H01Q21/00Aerial arrays or systems
    • H01Q21/06Arrays of individually energised active aerial units similarly polarised and spaced apart
    • H01Q21/061Two dimensional planar arrays
    • H01Q21/065Patch antenna array
    • HELECTRICITY
    • H01BASIC ELECTRIC ELEMENTS
    • H01QAERIALS
    • H01Q1/00Details of, or arrangements associated with, aerials
    • H01Q1/36Structural form of radiating elements, e.g. cone, spiral, umbrella; Particular materials used therewith
    • H01Q1/364Structural form of radiating elements, e.g. cone, spiral, umbrella; Particular materials used therewith using a particular conducting material, e.g. supraconductor
    • HELECTRICITY
    • H01BASIC ELECTRIC ELEMENTS
    • H01QAERIALS
    • H01Q3/00Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an aerial or aerial system
    • H01Q3/26Arrangements for changing or varying the orientation or the shape of the directional pattern of the waves radiated from an aerial or aerial system varying the relative phase or relative amplitude of energisation between two or more active radiating elements; varying the distribution of energy across a radiating aperture
    • HELECTRICITY
    • H01BASIC ELECTRIC ELEMENTS
    • H01QAERIALS
    • H01Q15/00Devices for reflection, refraction, diffraction, or polarisation of waves radiated from an aerial, e.g. quasi-optical devices
    • H01Q15/0006Devices acting selectively as reflecting surface, as diffracting or as refracting device, e.g. frequency filtering or angular spatial filtering devices
    • HELECTRICITY
    • H01BASIC ELECTRIC ELEMENTS
    • H01QAERIALS
    • H01Q9/00Electrically-short aerials having dimensions not more than twice the operating wavelength and consisting of conductive active radiating elements
    • H01Q9/04Resonant aerials
    • H01Q9/16Resonant aerials with feed intermediate between the extremities of the aerial, e.g. centre-fed dipole
    • H01Q9/26Resonant aerials with feed intermediate between the extremities of the aerial, e.g. centre-fed dipole with folded element or elements, the folded parts being spaced apart a small fraction of operating wavelength

Similar Documents

Publication Publication Date Title
Agrawal et al. Design of elliptical microstrip patch antenna using ANN
Aneesh et al. Analysis of microstrip line feed slot loaded patch antenna using artificial neural network
Patnaik et al. Neurocomputational analysis of a multiband reconfigurable planar antenna
Bose et al. Design of an aperture-coupled microstrip antenna using a hybrid neural network
Kayabasi et al. Applications of ANN and ANFIS to predict the resonant frequency of L-shaped compact microstrip antennas
Guney et al. Adaptive neuro-fuzzy inference system for the input resistance computation of rectangular microstrip antennas with thin and thick substrates
Heidari et al. Design and optimization of a circularly polarized microstrip antenna for GPS applications using ANFIS and GA
Ruliyanta et al. Design of Rectangular Patch Array 2x4 Microstrip Antenna on C-Band for Weather Radar Applications
Guney et al. Input resistance calculation for circular microstrip antennas using adaptive neuro-fuzzy inference system
Pragya et al. Design of minkowski curve-based slotted microstrip patch antenna using artificial neural network
Guney et al. Computation of resonant frequency for equilateral triangular microstrip antennas using the adaptive neuro‐fuzzy inference system
Singh et al. Design of circular microstrip antenna using artificial neural networks
Pusuluri et al. Decision-Tree Based Machine Learning Approach for the Design and Optimization of 5G n78 Sub-Band Antenna for WiMAX/WLAN Applications
Rop et al. Application of adaptive neuro-fuzzy inference system technique in design of rectangular microstrip patch antennas
Manage et al. Optimization algorithms for MIMO antennas: a systematic review
Varma et al. Modeling of a compact triple band PIFA using knowledge based neural network
Jian et al. Millimeter wave microstrip antenna design based on swarm intelligence algorithm in 5G
Sarkar et al. Hyperparameters tuning of prior knowledge-driven multilayer perceptron model using particle swarm optimization for inverse modeling
Raya et al. Design of inset fed rectangular shaped microstrip patch antenna using deep neural networks
Guney et al. Adaptive neuro-fuzzy inference system for the computation of the bandwidth of electrically thin and thick rectangular microstrip antennas
Anita et al. An efficient artificial bee colony algorithm for optimising the design of rectangular microstrip patch antenna
Guney et al. Adaptive‐network‐based fuzzy inference system models for input resistance computation of circular microstrip antennas
Prabha et al. Artificial neural network based selection method for antenna parameters in microwave application
Belen et al. Realization of modified elliptical shaped dielectric lens antenna for X band applications with 3D printing technology
Singh et al. Estimation of resonant frequency of a circular microstrip antenna using artificial neural network