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Sea Bottom Recognition Using Multistage Fuzzy Neural Network Operating on Multi-Frequency Data

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A hybrid neuro-fuzzy classifier was developed for sea-bottom identification from acoustic echoes acquired at normal incidence by a single beam echosounder. A multistage fuzzy neural network (MSFNN) structure was constructed and tested on the data collected on 38 kHz and 120 kHz echosounder's frequencies. Two MSFNN models termed as incremental fuzzy neural network (IFNN) and aggregated fuzzy neural network (AFNN), were considered. Firstly, in IFNN, an approximate decision is undertaken based only on the one set of input variables. The decision is then fine-tuned by considering more and more factors in following stages until the final decision, corresponding to the output class, is undertaken. In AFNN, the input variables are divided into M subsets, where each of them is fed to one sub-stage. The final output is derived by the reasoning with all intermediate variables, which work as the outputs of sub-stages in the preceding stage. The proposed approach improves classification results twofold. Firstly, it increases generalisation ability of the system by multifrequency observations. Secondly, it reduces requirements on computation power and memory by applying a multistage solution.

Document Type: Research Article

Publication date: September 1, 2000

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  • Acta Acustica united with Acustica, published together with the European Acoustics Association (EAA), is an international, peer-reviewed journal on acoustics. It publishes original articles on all subjects in the field of acoustics, such as general linear acoustics, nonlinear acoustics, macrosonics, flow acoustics, atmospheric sound, underwater sound, ultrasonics, physical acoustics, structural acoustics, noise control, active control, environmental noise, building acoustics, room acoustics, acoustic materials, acoustic signal processing, computational and numerical acoustics, hearing, audiology and psychoacoustics, speech, musical acoustics, electroacoustics, auditory quality of systems. It reports on original scientific research in acoustics and on engineering applications. The journal considers scientific papers, technical and applied papers, book reviews, short communications, doctoral thesis abstracts, etc. In irregular intervals also special issues and review articles are published.
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