Titlebook: Innovations in ART Neural Networks; Lakhmi C. Jain,Beatrice Lazzerini,Ugur Halici Book 2000 Springer-Verlag Berlin Heidelberg 2000 Adaptiv

CHASE

1434-9922 rature for many more innovations in ART such as Fuzzy ART, ART2, ART2-a, ARTMAP, ARTMAP-PI, ARTMAP-DS, Gaussian ARTMAP, EXACT ART, and ART-EMAP.978-3-7908-2469-8978-3-7908-1857-4Series ISSN 1434-9922 Series E-ISSN 1860-0808

Glutinous

M. Blumecal reasoning and computer science developments also have to be taken into account in identifying problems. Adopting an interdisciplinary approach the book focuses primarily on international humanitarian law, with related ethics and computer science aspects included in the discussion and the analysis.978-3-319-88402-8978-3-319-67266-3

HAIRY

SOB

Conflagration

G. Bartfai,R. White are evaluation rules that forbid certain “dehumanized” behavior as a matter of principle; and it is possible that there are imputation rules, the violation of which could lead to persons successfully but unjustifiedly evading their own responsibility. The first avenue will be—after some introductor

長矛

Melatonin

C. P. Lim,R. F. Harrisoncal reasoning and computer science developments also have to be taken into account in identifying problems. Adopting an interdisciplinary approach the book focuses primarily on international humanitarian law, with related ethics and computer science aspects included in the discussion and the analysis.978-3-319-88402-8978-3-319-67266-3

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T. Serrano-Gotarredona,B. Linares-Barrancoe feasible precautions in attack and seeks to determine whether a nation employing autonomous weapons on a battlefield might be able to fully comply. First, this chapter strives to define what is meant by autonomous weapon systems. Second, the chapter will examine the technological advances and oper

舊石器時(shí)代

Iatrogenic

Incremental Learning and Optimization of Hierarchical Clusterings with Art-Based Modular Networks,oposed earlier by the first author. The network dynamics are specified and some useful properties of both networks are given and then proven. Experiments were carried out on benchmark datasets to demonstrate the representational and learning capabilities of both networks and to compare the developed