Design for boulder bridge; grounds of Mr. James A. Allison

Red and black ink on linen. View from top, side and end elevations and cross-section with distances and grades. 111 cm. x 50 cm. Scale: 1/4" = 1'. Signed. [Marion College] [from photographic copy by Lance Burgharrdt]

Topographical survey; grounds of Mr. James A. Allison

Black and red ink on linen. Elevations, topographical lines, location of vegetation, buildings and drainage tiles; locations of (proposed?) gardens, walkways, ponds, stables, etc. penciled in. 92 cm. x 83 cm. Scale: 1" = 50'. [Marion College] [from photographic copy by Lance Burgharrdt]

General plan; grounds of Mr. James A. Allison

Pencil and red ink on linen. Indicates location of buildings, ponds, gardens, vegetation, sewers, etc. Signed. 92 cm x 84 cm. Scale: 1" = 50'. Signed. [Marion College] [from photographic copy by Lance Burgharrdt]

Design for garden pool; grounds of Mr. J.A. Allison

Black and red ink on tracing paper. Plan and detailed cross-sections of pool and drainage details with measurements and materials specified. Signed. 72 cm. x 51 cm. Scale: 1/2 " = 1'. [Marion College] [from photographic copy by Lance Burgharrdt]

Planting plan for gardens; estate of Mr. James A. Allison

Red and black ink on linen. Instructions on location, type and amount of vegetation. Signed. 103 cm. x 88 cm. Scale: 1" = 20'. Signed. [Marion College] [from photographic copy by Lance Burgharrdt]

Plan showing location of tennis court, vegetable garden and walls, and grounds of James A. Allison

Pencil on linen. Elevations for walls and gates. Signed. 106 cm. x 27 cm. Scale: 1" = 20'. [Marion College] [from photographic copy by Lance Burgharrdt]

George J. Huebner holding part of a gas turbine, 1960

Inscribed on back "9001-68"

The technical literature of gas turbine plants (1930 to date) exclusive of patents,

Mode of access: Internet.

The Swiss patents on gas turbine plants (1925-1942)

Mode of access: Internet.

Neural network control of a gas turbine

In this paper we explore the practical use of neural networks for controlling complex non-linear systems. The system used to demonstrate this approach is a simulation of a gas turbine engine typical of those used to power commercial aircraft. The novelty of the work lies in the requirement for multiple controllers which are used to maintain system variables in safe operating regions as well as governing the engine thrust.