In this paper, we propose a new variant of Accepting Networks of Evolutionary Processors, in which the operations can be applied only arbitrarily to the words, while the filters are languages from several special classes of regular sets. More precisely, we show that the use of filters from the class of ordered, non-counting, power-separating, suffix-closed regular, union-free, definite and combinational languages is as powerful as the use of arbitrary regular languages and yields networks that can accept all the recursively enumerable languages. On the other hand, by using filters that are only finite languages, monoids, nilpotent languages, commutative regular languages, or circular regular languages, one cannot generate all recursively enumerable languages. These results seem interesting as they provide both upper and lower bounds on the classes of languages that one can use as filters in an accepting network of evolutionary processors in order to obtain a complete computatio...