TY  - BOOK
AU  - Rocha,Armando Freitas
ED  - SpringerLink (Online service)
TI  - Neural Nets: A Theory for Brains and Machines 
T2  - Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence,
SN  - 9783540473176
AV  - Q334-342 
U1  - 006.3 23
PY  - 1992///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Computer science
KW  - Neurosciences
KW  - Artificial intelligence
KW  - Biology
KW  - Data processing
KW  - Biomedical engineering
KW  - Computer Science
KW  - Artificial Intelligence (incl. Robotics)
KW  - Systems and Information Theory in Engineering
KW  - Computer Appl. in Life Sciences
KW  - Computation by Abstract Devices
KW  - Biophysics/Biomedical Physics
N1  - The neuron -- The synapsis electrical properties -- The synapsis the chemical processing -- Learning -- Investigating expertise -- Modular nets -- NEXTOOL: A MPNN classifying system -- JARGON a neural environment for language processing -- SMART KARDS (c): Object oriented MPNN environment -- Fuzzy sets and fuzzy logic
N2  - The purpose of this book is to develop neural nets as a strong theory for both brains and machines. The theory is developed in close correlation with the biology of the neuron and the properties of human reasoning. This approach implies the following: - Updating the biology of the artificialneuron. The neurosciences have experienced a tremendous development in the last 50 years. One of the main purposes of the present work is toincorporate this knowledge into a strong model of the artificial neuron. Particular attention is devoted to formalizing the complex chemical processes at the synaptic level. This formal language supports both symbolicreasoning and uncertainty processing. - Investigating the properties of expert reasoning. This kind of reasoning is approximate, partial and non-monotonic, and therefore requires special mathematical tools for its formalization, such as fuzzy set theory and fuzzy logic. Three different intelligent systems developed with this technology are presented and discussed
UR  - http://dx.doi.org/10.1007/3-540-55949-3
ER  -