Keywords: Artificial Intelligence, Circuit Modeling, Data Analysis Impedance Measurements, Analytical Modeling, Automatic Modeling, Cultural Algorithm, Eis Measurements, Electrical Impedance Spectroscopy, Evolutionary Programming Approach, Gene Expression Programming, In-Vitro, Metallic Implants, Osseointegration, Potential Solutions, Bone, Data Handling, Electric Impedance Measurement, Electrochemical Corrosion, Equivalent Circuits, Measurement Theory, Program Diagnostics, Electric Network Analysis,
Affiliations: *** IBB - CNR ***
Dipartimento di Ingegneria, Università del Sannio, Benevento, Italy
Istituto di Ingegneria Biomedica, Consiglio Nazionale delle Ricerche, Roma, Italy
References: Not available.
Automatic modeling based on cultural programming for osseointegration diagnosis
The problem of modeling equivalent circuits for interpreting Electrical Impedance Spectroscopy (EIS) data in monitoring osseointegration level of metallic implants in bone is faced by means of an evolutionary programming approach based on cultural algorithms. With respect to state-of-the-art gene expression programming, the information on search advance acquired by most promising individuals during the evolution is shared with the entire population of potential solutions and stored also for next generations. Experimental results of the application such cultural programming-based analytical modeling to in-vitro EIS measurements of bone in-growth around metallic implants during prosthesis osseointegration are presented.
Automatic modeling based on cultural programming for osseointegration diagnosis
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Automatic modeling based on cultural programming for osseointegration diagnosis
Vitiello M, Finamore E, Falanga A, Raieta K, Cantisani M, Galdiero F, Pedone C, Galdiero M, Galdiero S * Fusion in Coq(577 views) Lecture Notes In Computer Science (ISSN: 0302-9743, 0302-974335404636319783540463634, 0302-974335402975459783540297543), 2001; 2178LNCS: 583-596. Impact Factor:0.415 ViewExport to BibTeXExport to EndNote
6 Records (6 excluding Abstracts). Total impact factor: 20.796 (20.796 excluding Abstracts). Total 5 year impact factor: 21.739 (21.739 excluding Abstracts).